Ebook: Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Innsbruck, Austria, 1993

Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.

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Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.

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Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.
Content:
Front Matter....Pages I-XIII
Workshop Summary....Pages 1-2
The class of refractory neural nets....Pages 3-10
The Boltzmann ECE Neural Network: A Learning Machine for Estimating Unknown Probability Distributions....Pages 11-17
The Functional Intricacy of Neural Networks A Mathematical Study....Pages 18-24
Evolving Neural Feedforward Networks....Pages 25-32
An Example of Neural Code: Neural Trees Implemented by LRAAMs....Pages 33-39
Kolmogorov’s Theorem: From Algebraic Equations and Nomography to Neural Networks....Pages 40-47
Output Zeroing within a Hopfield Network....Pages 48-54
Evolving Recurrent Neural Networks....Pages 55-62
Speeding Up Back Propagation by Partial Evaluation....Pages 63-66
A New Min-Max Optimisation Approach for Fast Learning Convergence of Feed-Forward Neural Networks....Pages 67-71
Evolution of neural net architectures by a hierarchical grammar-based genetic system....Pages 72-79
Interactive Classification through Neural Networks....Pages 80-85
Visualization of Neural Network Operation for Improving the Performance Optimization Process....Pages 86-92
Identification of Nonlinear Systems Using Dynamical Neural Networks: A Singular Perturbation Approach....Pages 93-100
The Polynomial Method Augmented by Supervised Training for Hand-Printed Character Recognition....Pages 101-106
Analysis of Electronic Nose Data Using Logical Neurons....Pages 107-111
Neural Tree Network Based Electronic Nose....Pages 112-116
Lime Kiln Process Identification and Control: A Neural Network Approach....Pages 117-124
Application of Neural Networks to Automated Brain Maturation Study....Pages 125-130
A Neuron Model for Centroid Estimation in Clustering Problems....Pages 131-136
Systolic Pattern Recognition Based on Neural Network Algorithm....Pages 137-144
Neural Networks versus Image Pyramids....Pages 145-153
Application of Neural Networks to Gradient Search Techniques in Cluster Analysis....Pages 154-160
LVQ-Based On-line EEG Classification....Pages 161-166
A Scalable Neural Architecture Combining Unsupervised and Suggestive Learning....Pages 167-174
Stability Analysis of the Separation of Sources Algorithm: Application to an Analogue Hardware....Pages 175-182
Learning with Mappings and Input-Orderings using Random Access Memory — based Neural Networks....Pages 183-189
New Preprocessing Methods for Holographic Neural Networks....Pages 190-197
A Solution for the Processor Allocation Problem: Topology Conserving Graph Mapping by Self-Organization....Pages 198-205
Using A Synergetic Computer in an Industrial Classification Problem....Pages 206-212
Connectionist Unifying Prolog....Pages 213-220
Plausible Self-Organizing Maps for Speech Recognition....Pages 221-226
Application of Neural Networks to Fault Diagnosis for HVDC Systems....Pages 227-234
The Hopfield and Hamming Networks Applied to the Automatic Speech Recognition of the Five Spanish Vowels....Pages 235-242
Speaker-Independent Word Recognition with Backpropagation Networks....Pages 243-248
A Neural Learning Framework for Advisory Dialogue Systems....Pages 249-256
Symbolic Learning in Connectionist Production Systems....Pages 257-264
An Evaluation of Different Network Models in Machine Vision Applications....Pages 265-268
Combined Application of Neural Network and Artificial Intelligence Methods to Automatic Speech Recognition in a Continuous Utterance....Pages 269-274
A Neural Network Based Control of a Simulated Biochemical Process....Pages 275-278
Applications of Neural Networks for Filtering....Pages 279-284
A Recurrent Neural Network for Time-series Modelling....Pages 285-291
The Application of Neural Sensors to Fermentation Processes....Pages 292-299
An Application of Unsupervised Neural Networks Based Condition Monitoring System....Pages 300-306
A Report of the Practical Application of a Neural Network in Financial Service Decision Making....Pages 307-315
Performance Evaluation of Neural Networks Applied to Queueing Allocation Problem....Pages 316-323
Real-data-based Car-following with Adaptive Neural Control....Pages 324-330
An Adaptive Plan....Pages 331-337
Mapping Parallel Genetic Algorithms on WK-Recursive Topologies....Pages 338-343
Diversity and Diversification in Genetic Algorithms: Some Connections with Tabu Search....Pages 344-351
Clique Partitioning Problem and Genetic Algorithms....Pages 352-360
Self-Organization of Communication in Distributed Learning Classifier Systems....Pages 361-367
Design of Digital Filters with Evolutionary Algorithms....Pages 368-374
An Empirical Study of Population and Non-population Based Search Strategies for Optimizing a Combinatorical Problem....Pages 375-384
The Parallel Genetic Cellular Automata: Application to Global Function Optimization....Pages 385-391
Optimization of Genetic Algorithms by Genetic Algorithms....Pages 392-399
Achieving Self-Stabilization in a Distributed System Using Evolutionary Strategies....Pages 400-407
Improving Simple Classifier Systems to alleviate the problems of Duplication, Subsumption and Equivalence of Rules....Pages 408-416
Genetic Algorithm Selection of Features for Hand-printed Character Identification....Pages 417-422
Analysis and Comparison of different Genetic Models for the Clustering problem in Image Analysis....Pages 423-427
Evolving Recurrent Dynamical Networks for Robot Control....Pages 428-435
Genetic Algorithms for On-Line System Identification....Pages 436-440
EVOLVABLE HARDWARE Genetic Programming of a Darwin Machine....Pages 441-449
A Fast Genetic Algorithm with Sharing Scheme Using Cluster Analysis Methods in Multimodal Function Optimization....Pages 450-457
An Interactive Genetic Algorithm for Controller Parameter Optimization....Pages 458-462
Robustness and Evolution in an Adaptive System Application on Classification Task....Pages 463-470
On Robot Navigation Using a Genetic Algorithm....Pages 471-478
Genetic Algorithms and Classifier Systems in simulating a Cooperative behavior....Pages 479-483
Dynamic Management of the Specificity in Classifier Systems....Pages 484-490
Dynamic Sequencing of A Multi-Processor System: A Genetic Algorithm Approach....Pages 491-495
Genetic Algorithms versus Tabu Search for Instruction Scheduling....Pages 496-501
A Massively Parallel Genetic Algorithm on the MasPar MP-1....Pages 502-507
Standard Cell Routing Optimization Using A Genetic Algorithm....Pages 508-514
Efficient Parallel Learning in Classifier Systems....Pages 515-521
Co-Evolving Communicating Classifier Systems for Tracking....Pages 522-527
On Finding Optimal Potential Customers from a Large Marketing Database — a Genetic Algorithm Approach....Pages 528-535
Structural Design for Enhanced Noise Performance Using Genetic Algorithm and Other Optimization Techniques....Pages 536-543
The Concrete Arch Dam....Pages 544-551
The Genie Project — A Genetic Algorithm Application to a Sequencing Problem in the Biological Domain.....Pages 552-558
Hybrid Genetic Algorithms for the Traveling Salesman Problem....Pages 559-566
Using a Genetic Algorithm to Investigate Taxation Induced Interactions in Capital Budgeting....Pages 567-574
Fast Sequential and Parallel Implementation of Genetic Algorithms using the GAmeter Toolkit....Pages 575-582
Locating Pressure Control Elements for Leakage Minimisation in Water Supply Networks by Genetic Algorithms....Pages 583-587
A “Noise Gene” for Econets....Pages 588-594
A Solution to Global Illumination by Genetic Algorithms....Pages 595-601
NeXTGene: A graphical user-interface for GENESIS under NeXTStep....Pages 602-606
Using Genetic Algorithms in Economic Modelling: The Many-Agents Approach....Pages 607-612
GIRS: A genetic approach to Information Retrieval....Pages 613-619
Classifier System in Traffic Management....Pages 620-627
Genetic Search for Optimal Representations in Neural Networks....Pages 628-634
Searching among Search Spaces: Hastening the genetic evolution of feedforward neural networks....Pages 635-642
Representation and Evolution of Neural Networks....Pages 643-649
Using a Genetic Algorithm to tune Potts Neural Networks....Pages 650-657
Genetic Weight Optimization of a Feedforward Neural Network Controller....Pages 658-663
Using a genetic algorithm to find the rules of a neural network....Pages 664-669
M. L. P. Optimal Topology via Genetic Algorithms....Pages 670-674
Application of Genetic Algorithms to the Construction of Topologies for Multilayer Perceptrons....Pages 675-682
Genetic Algorithms as Heuristics for Optimizing ANN Design....Pages 683-690
Genetic Algorithm Design of Neural Net Based Electronic Nose....Pages 691-698
Circuits of Production Rule GenNets....Pages 699-705
Neuromimetic Algorithms Processing: Tools for Design of Dedicated Architectures....Pages 706-711
Towards the Development of Cognitive Maps in Classifier Systems....Pages 712-718
Genetic Optimisation of Neural Network Architectures for Colour Recipe Prediction....Pages 719-725
Use of Genetic Algorithms for Optimal Topology Determination in Back Propagation Neural Networks....Pages 726-730
Counting and Naming Connection Islands on a Grid of Conductors....Pages 731-737
Back Matter....Pages 739-741

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Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.
Content:
Front Matter....Pages I-XIII
Workshop Summary....Pages 1-2
The class of refractory neural nets....Pages 3-10
The Boltzmann ECE Neural Network: A Learning Machine for Estimating Unknown Probability Distributions....Pages 11-17
The Functional Intricacy of Neural Networks A Mathematical Study....Pages 18-24
Evolving Neural Feedforward Networks....Pages 25-32
An Example of Neural Code: Neural Trees Implemented by LRAAMs....Pages 33-39
Kolmogorov’s Theorem: From Algebraic Equations and Nomography to Neural Networks....Pages 40-47
Output Zeroing within a Hopfield Network....Pages 48-54
Evolving Recurrent Neural Networks....Pages 55-62
Speeding Up Back Propagation by Partial Evaluation....Pages 63-66
A New Min-Max Optimisation Approach for Fast Learning Convergence of Feed-Forward Neural Networks....Pages 67-71
Evolution of neural net architectures by a hierarchical grammar-based genetic system....Pages 72-79
Interactive Classification through Neural Networks....Pages 80-85
Visualization of Neural Network Operation for Improving the Performance Optimization Process....Pages 86-92
Identification of Nonlinear Systems Using Dynamical Neural Networks: A Singular Perturbation Approach....Pages 93-100
The Polynomial Method Augmented by Supervised Training for Hand-Printed Character Recognition....Pages 101-106
Analysis of Electronic Nose Data Using Logical Neurons....Pages 107-111
Neural Tree Network Based Electronic Nose....Pages 112-116
Lime Kiln Process Identification and Control: A Neural Network Approach....Pages 117-124
Application of Neural Networks to Automated Brain Maturation Study....Pages 125-130
A Neuron Model for Centroid Estimation in Clustering Problems....Pages 131-136
Systolic Pattern Recognition Based on Neural Network Algorithm....Pages 137-144
Neural Networks versus Image Pyramids....Pages 145-153
Application of Neural Networks to Gradient Search Techniques in Cluster Analysis....Pages 154-160
LVQ-Based On-line EEG Classification....Pages 161-166
A Scalable Neural Architecture Combining Unsupervised and Suggestive Learning....Pages 167-174
Stability Analysis of the Separation of Sources Algorithm: Application to an Analogue Hardware....Pages 175-182
Learning with Mappings and Input-Orderings using Random Access Memory — based Neural Networks....Pages 183-189
New Preprocessing Methods for Holographic Neural Networks....Pages 190-197
A Solution for the Processor Allocation Problem: Topology Conserving Graph Mapping by Self-Organization....Pages 198-205
Using A Synergetic Computer in an Industrial Classification Problem....Pages 206-212
Connectionist Unifying Prolog....Pages 213-220
Plausible Self-Organizing Maps for Speech Recognition....Pages 221-226
Application of Neural Networks to Fault Diagnosis for HVDC Systems....Pages 227-234
The Hopfield and Hamming Networks Applied to the Automatic Speech Recognition of the Five Spanish Vowels....Pages 235-242
Speaker-Independent Word Recognition with Backpropagation Networks....Pages 243-248
A Neural Learning Framework for Advisory Dialogue Systems....Pages 249-256
Symbolic Learning in Connectionist Production Systems....Pages 257-264
An Evaluation of Different Network Models in Machine Vision Applications....Pages 265-268
Combined Application of Neural Network and Artificial Intelligence Methods to Automatic Speech Recognition in a Continuous Utterance....Pages 269-274
A Neural Network Based Control of a Simulated Biochemical Process....Pages 275-278
Applications of Neural Networks for Filtering....Pages 279-284
A Recurrent Neural Network for Time-series Modelling....Pages 285-291
The Application of Neural Sensors to Fermentation Processes....Pages 292-299
An Application of Unsupervised Neural Networks Based Condition Monitoring System....Pages 300-306
A Report of the Practical Application of a Neural Network in Financial Service Decision Making....Pages 307-315
Performance Evaluation of Neural Networks Applied to Queueing Allocation Problem....Pages 316-323
Real-data-based Car-following with Adaptive Neural Control....Pages 324-330
An Adaptive Plan....Pages 331-337
Mapping Parallel Genetic Algorithms on WK-Recursive Topologies....Pages 338-343
Diversity and Diversification in Genetic Algorithms: Some Connections with Tabu Search....Pages 344-351
Clique Partitioning Problem and Genetic Algorithms....Pages 352-360
Self-Organization of Communication in Distributed Learning Classifier Systems....Pages 361-367
Design of Digital Filters with Evolutionary Algorithms....Pages 368-374
An Empirical Study of Population and Non-population Based Search Strategies for Optimizing a Combinatorical Problem....Pages 375-384
The Parallel Genetic Cellular Automata: Application to Global Function Optimization....Pages 385-391
Optimization of Genetic Algorithms by Genetic Algorithms....Pages 392-399
Achieving Self-Stabilization in a Distributed System Using Evolutionary Strategies....Pages 400-407
Improving Simple Classifier Systems to alleviate the problems of Duplication, Subsumption and Equivalence of Rules....Pages 408-416
Genetic Algorithm Selection of Features for Hand-printed Character Identification....Pages 417-422
Analysis and Comparison of different Genetic Models for the Clustering problem in Image Analysis....Pages 423-427
Evolving Recurrent Dynamical Networks for Robot Control....Pages 428-435
Genetic Algorithms for On-Line System Identification....Pages 436-440
EVOLVABLE HARDWARE Genetic Programming of a Darwin Machine....Pages 441-449
A Fast Genetic Algorithm with Sharing Scheme Using Cluster Analysis Methods in Multimodal Function Optimization....Pages 450-457
An Interactive Genetic Algorithm for Controller Parameter Optimization....Pages 458-462
Robustness and Evolution in an Adaptive System Application on Classification Task....Pages 463-470
On Robot Navigation Using a Genetic Algorithm....Pages 471-478
Genetic Algorithms and Classifier Systems in simulating a Cooperative behavior....Pages 479-483
Dynamic Management of the Specificity in Classifier Systems....Pages 484-490
Dynamic Sequencing of A Multi-Processor System: A Genetic Algorithm Approach....Pages 491-495
Genetic Algorithms versus Tabu Search for Instruction Scheduling....Pages 496-501
A Massively Parallel Genetic Algorithm on the MasPar MP-1....Pages 502-507
Standard Cell Routing Optimization Using A Genetic Algorithm....Pages 508-514
Efficient Parallel Learning in Classifier Systems....Pages 515-521
Co-Evolving Communicating Classifier Systems for Tracking....Pages 522-527
On Finding Optimal Potential Customers from a Large Marketing Database — a Genetic Algorithm Approach....Pages 528-535
Structural Design for Enhanced Noise Performance Using Genetic Algorithm and Other Optimization Techniques....Pages 536-543
The Concrete Arch Dam....Pages 544-551
The Genie Project — A Genetic Algorithm Application to a Sequencing Problem in the Biological Domain.....Pages 552-558
Hybrid Genetic Algorithms for the Traveling Salesman Problem....Pages 559-566
Using a Genetic Algorithm to Investigate Taxation Induced Interactions in Capital Budgeting....Pages 567-574
Fast Sequential and Parallel Implementation of Genetic Algorithms using the GAmeter Toolkit....Pages 575-582
Locating Pressure Control Elements for Leakage Minimisation in Water Supply Networks by Genetic Algorithms....Pages 583-587
A “Noise Gene” for Econets....Pages 588-594
A Solution to Global Illumination by Genetic Algorithms....Pages 595-601
NeXTGene: A graphical user-interface for GENESIS under NeXTStep....Pages 602-606
Using Genetic Algorithms in Economic Modelling: The Many-Agents Approach....Pages 607-612
GIRS: A genetic approach to Information Retrieval....Pages 613-619
Classifier System in Traffic Management....Pages 620-627
Genetic Search for Optimal Representations in Neural Networks....Pages 628-634
Searching among Search Spaces: Hastening the genetic evolution of feedforward neural networks....Pages 635-642
Representation and Evolution of Neural Networks....Pages 643-649
Using a Genetic Algorithm to tune Potts Neural Networks....Pages 650-657
Genetic Weight Optimization of a Feedforward Neural Network Controller....Pages 658-663
Using a genetic algorithm to find the rules of a neural network....Pages 664-669
M. L. P. Optimal Topology via Genetic Algorithms....Pages 670-674
Application of Genetic Algorithms to the Construction of Topologies for Multilayer Perceptrons....Pages 675-682
Genetic Algorithms as Heuristics for Optimizing ANN Design....Pages 683-690
Genetic Algorithm Design of Neural Net Based Electronic Nose....Pages 691-698
Circuits of Production Rule GenNets....Pages 699-705
Neuromimetic Algorithms Processing: Tools for Design of Dedicated Architectures....Pages 706-711
Towards the Development of Cognitive Maps in Classifier Systems....Pages 712-718
Genetic Optimisation of Neural Network Architectures for Colour Recipe Prediction....Pages 719-725
Use of Genetic Algorithms for Optimal Topology Determination in Back Propagation Neural Networks....Pages 726-730
Counting and Naming Connection Islands on a Grid of Conductors....Pages 731-737
Back Matter....Pages 739-741
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