Ebook: Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995

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 subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.

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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 subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.

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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 subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.
Content:
Front Matter....Pages I-XV
Workshop Summary....Pages 1-2
Kohonen Neural Networks for Machine and Process Condition Monitoring....Pages 3-4
Process Modelling and Control with Neural Networks: Present Status and Future Directions....Pages 5-5
A Genetic Algorithm for Multicriteria Inventory Classification....Pages 6-9
Optimizing Classifiers for Handwritten Digits by Genetic Algorithms....Pages 10-13
DCS: A Promising Classifier System....Pages 14-17
Application of neural networks for classification of temperature distribution patterns....Pages 18-21
Combination of Genetic Algorithms and CLP in the Vehicle-Fleet Scheduling Problem....Pages 22-25
Minimum Cost Topology Optimisation of the Cost 239 European Optical Network....Pages 26-29
Timetabling Using Genetic Algorithms....Pages 30-32
Resolution of Cartographic Layout Problem by Means of Improved Genetic Algorithms....Pages 33-36
Using Genetic Algorithms to Solve the Radio Link Frequency Assignment Problem....Pages 37-40
A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks....Pages 41-44
AA1*: A Dynamic Incremental Network that Learns by Discrimination....Pages 45-48
Non-Supervised Sensory-Motor Agents Learning....Pages 49-52
Functional Equivalence and Genetic Learning of RBF Networks....Pages 53-56
Teaching Relaxation Labeling Processes Using Genetic Algorithms....Pages 57-60
VLSI Optimal Neural Network Learning Algorithm....Pages 61-64
Using of Neural-Network and Expert System for Imissions Prediction....Pages 65-68
The Costing of Process Vessels Using Neural Networks....Pages 69-71
Neural Network Modelling of Fermentation Taking into Account Culture Memory....Pages 72-75
Brain Electrographic State Detection Using Combined Unsupervised and Supervised Neural Networks....Pages 76-79
From the Chromosome to the Neural Network....Pages 80-83
CAM-Brain....Pages 84-87
A Perfect Integration of Neural Networks and Evolutionary Algorithms....Pages 88-91
Evolving Neural Network Structures: An Evaluation of Encoding Techniques....Pages 92-95
Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System....Pages 96-99
Optimally Robust Fault Diagnosis Using Genetic Algorithms....Pages 100-103
Development of a Neural-based Diagnostic System to Control the Ropes of Mining Shifts....Pages 104-107
Lime Kiln Fault Detection and Diagnosis by Neural Networks....Pages 108-111
Investigations into the Use of Wavelet Transformations as Input into Neural Networks for Condition Monitoring....Pages 112-115
Genetic Algorithm for Neurocomputer Image Recognition....Pages 116-119
Feature Map Architectures for Pattern Recognition: Techniques for Automatic Region Selection....Pages 120-123
Adaptive Genetic Algorithms for Multi-Point Path Finding in Artificial Potential Fields....Pages 124-127
Spatio-Temporal Mask Learning: Application to Speech Recognition....Pages 128-131
Artificial Neural Networks for Motion Estimation....Pages 132-135
Advanced Neural Networks Methods for Recognition of Handwritten Characters....Pages 136-139
The Use of a Variable Length Chromosome for Permutation Manipulation in Genetic Algorithms....Pages 140-143
Theoretical Bounds for Genetic Algorithms....Pages 144-147
An Argument Against the Principle of Minimal Alphabet....Pages 148-151
Heterogeneous Co-evolving Parasites....Pages 152-155
Typology of Boolean Functions Using Walsh Analysis....Pages 156-159
Artificial Neural Networks for Nonlinear Projection and Exploratory Data Analysis....Pages 160-163
Generic Back-Propagation in Arbitrary FeedForward Neural Networks....Pages 164-167
From Prime Implicants to Modular Feedforward Networks....Pages 168-171
Hierarchical Backward Search Method: A New Classification Tree Using Preprocessing by Multilayer Neural Network....Pages 172-175
Adaptation Algorithms for 2-D Feedforward Neural Networks....Pages 176-179
Selecting the Best Significant Fragment to the Incremental Heteroassociative Neural Network (RHI)....Pages 180-182
An Orthogonal Neural Network with Guaranted Recall by Iterative Filters and Its Application to Texture Discrimination....Pages 183-185
Automatic Radar Target Identification Using Neural Networks....Pages 186-189
Keystroke Dynamics Based User Authentication Using Neural Networks....Pages 190-193
Application of Learning to Learn to Real-World Pattern Recognition....Pages 194-197
Quarry Aggregates: A Flexible Inspection Method Utilising Artificial Neural Networks....Pages 198-201
An Evolution Model for Integration Problems....Pages 202-205
Convergence of Algorithm and the Schema Theorem in Genetic Algorithms....Pages 206-209
Incorporating Neighbourhood Search Operators Into Genetic Algorithms....Pages 210-213
Automatic Change of Representation in Genetic Algorithms....Pages 214-217
Dominant Takeover Regimes for Genetic Algorithms....Pages 218-222
Interactve Evolutionary Algorithms in Design....Pages 223-226
Decrypting Neural Network Data: A Gis Case Study....Pages 227-230
A Framework for Creating Societies of Agents....Pages 231-234
Adaptive Scaling of Codebook Vectors....Pages 235-238
Bias Estimation for Neural Network Predictions....Pages 239-241
ANN Realizations of Local Approximations Schemes....Pages 242-244
Changing Network Weights by Lie Groups....Pages 245-248
Unsupervised Learning of Temporal Sequences by Neural Networks....Pages 249-252
Multivariate Time Series Modelling of Financial Markets with Artificial Neural Networks....Pages 253-256
Neural Network Approach to Pisarenko’s Frequency Estimation....Pages 257-260
Rounding FIR Filter Coefficients Using Genetic Algorithms....Pages 261-264
Evolutionary Adaptive Filtering....Pages 265-268
A Genetic Algorithm for Some Discrete-Continuous Scheduling Problems....Pages 269-272
Hybridizing Genetic Algorithms with Branch and Bound Techniques for the Resolution of the TSP....Pages 273-276
Performance of Genetic Algorithm Used for Analysis of Call and Service Processing in Telecommunications....Pages 277-280
Evolutionary Heuristics for the Bin Packing Problem....Pages 281-284
A Clausal Genetic Representation and its Evolutionary Procedures for Satisfiability Problems....Pages 285-288
Massively Parallel Training of Multi Layer Perceptrons With Irregular Topologies....Pages 289-292
Parallel Boltzmann Machine Topologies for Simulated Annealing Realisation of Combinatorial Problems....Pages 293-296
Radial Basis Function Neural Networks in Credit Application Vetting Systems....Pages 297-300
A Dynamical Architecture for a Radial Basis Function Network....Pages 301-304
Centre Selection for Radial Basis Function Networks....Pages 305-308
Flexible User-Guidance in Multimedia CBT-Applications Using Artificial Neural Networks....Pages 309-312
Use of Genetic and Neural Technologies in Oil Equipment Computer-Aided Design....Pages 313-316
GENESIS: An Object-Oriented Framework for Simulation of Neural Network Models....Pages 317-320
NNDT — A Neural Network Development Tool....Pages 321-324
Genetic Synthesis of Task-Oriented Neural Networks....Pages 325-328
Evolving Neural Networks Using the “Baldwin Effect”....Pages 329-332
Modification of Holland’s Reproductive Plan for Diploid Populations....Pages 333-336
Simulated Annealing Artificial Neural Networks for the Satisfiability (SAT) Problem....Pages 337-339
Policy Optimization by Neural Network and Its Application to Queueing Allocation Problem....Pages 340-343
Comparison of Genetic and Other Unconstrained Optimization Methods....Pages 344-347
Neural Networks for Dynamical Crop Growth Model Reduction and Optimization....Pages 348-351
Modified Kohonen’s Learning Laws for RBF Network....Pages 352-355
Kohonen’s Maps for Contour and “Region-Like” Segmentation of Gray Level and Color Images....Pages 356-359
Using Genetic Algorithm in Self-Organizing Map Design....Pages 360-363
Modular Labeling RAAM....Pages 364-367
Self-Organizing Maps for Supervision in Robot Pick-And-Place Operations....Pages 368-371
Q-Learning and Parallelism in Evolutionary Rule Based Systems....Pages 372-375
Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem....Pages 376-379
Distributed Genetic Algorithms with an Application to Portfolio Selection Problems....Pages 380-383
Interval arithmetic and genetic algorithms in global optimization....Pages 384-387
A Genetic Algorithm for Minimization of Fixed Polarity Reed-Muller Expressions....Pages 388-392
Identification and Adaptive Control of Nonlinear Processes Using Combined Neural Networks and Genetic Algorithms....Pages 393-395
Elevator group control using distributed genetic algorithm....Pages 396-399
Neural Control of Nonlinear Non-Minimum Phase Dynamical Systems....Pages 400-403
Industrial Kiln Multivariable Control: MNN and RBFNN Approaches....Pages 404-407
Genetic Tuning of Neural Non-Linear PID Controllers....Pages 408-411
Connectionnist Algorithm for a 3D Dense Image Building from Stereoscopy....Pages 412-415
A Unified Neural Network Model for the Self-organization of Topographic Receptive Fields and Lateral Interaction....Pages 416-419
A Neural Network Implementation for a Electronic Nose....Pages 420-423
Genetic Algorithms (GAs) in the Role of Intelligent Regional Adaptation Agents for Agricultural Decision Support Systems....Pages 424-427
Genetic Algorithm Applied to Radiotherapy Treatment Planning....Pages 428-431
An Experience Based Competitive Learning Neural Model for Data Compression....Pages 432-435
Using Neural Networks for Generic Strategic Planning....Pages 436-439
Neural Network Training Compared for BACKPROP QUICKPROP and CASCOR in Energy Control Problems....Pages 440-443
Application of Neural Network for Home Security System....Pages 444-447
Application of Genetic Algorithms in Sliding Mode Control Design....Pages 448-451
Application of Temporal Neural Networks to Source Localisation....Pages 452-455
Using Genetic Algorithms for Optimal Design of Axially Loaded Non-Prismatic Columns....Pages 456-459
Behaviour Learning by a Reward-Penalty Algorithm : From Gait Learning to Obstacle Avoidance by Neural Networks....Pages 460-463
Using Evolutionary Computation to Generate Training Set Data for Neural Networks....Pages 464-467
Optimal Training Pattern Selection Using a Cluster-Generating Artificial Neural Network....Pages 468-471
Training Set Selection in Neural Network Applications....Pages 472-475
A Genetic Algorithm for Load Balancing in Parallel Query Evaluation for Deductive Relational Data Bases....Pages 476-478
Combining Distributed Populations and Periodic Centralized Selections in Coarse-Grain Parallel Genetic Algorithms....Pages 479-482
Modified Genetic Algorithms by Efficient Unification with Simulated Annealing....Pages 483-486
VLSI Standard Cell Placement by Parallel Hybrid Simulated-Annealing and Genetic Algorithm....Pages 487-490
Performance of Genetic Algorithms in the Solution of Permutation Flowshop Problem....Pages 491-494
A Genetic Algorithm for the Maximal Clique Problem....Pages 495-498
Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network....Pages 499-502
Decision Making in Uncertain Environment with GA....Pages 503-506
The Use of Fuzzy ARTMAP to Identify Low Risk Coronary Care Patients....Pages 507-510
NeuroGraph - A Simulation Environment for Neural Networks, Genetic Algorithms and Fuzzy Logic....Pages 511-514
Comparison of Identification Techniques for Nonlinear Systems....Pages 515-518
....Pages 519-522