Ebook: Soft Computing Applications in Industry

Softcomputing techniques play a vital role in the industry. This book presents several important papers contributed by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc.

The softcomputing techniques presented in this book are on (or closely related to): ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, other machine learning and statistical techniques, and the combinations of the above techniques.

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Softcomputing techniques play a vital role in the industry. This book presents several important papers contributed by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc.

The softcomputing techniques presented in this book are on (or closely related to): ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, other machine learning and statistical techniques, and the combinations of the above techniques.

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Softcomputing techniques play a vital role in the industry. This book presents several important papers contributed by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc.

The softcomputing techniques presented in this book are on (or closely related to): ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, other machine learning and statistical techniques, and the combinations of the above techniques.

Content:
Front Matter....Pages -
Optimization of Industrial Processes Using Improved and Modified Differential Evolution....Pages 1-22
Noise-Robust Tool Condition Monitoring in Micro-milling with Hidden Markov Models....Pages 23-46
Dynamically Self-generated Fuzzy Neural Networks with Industry Applications....Pages 47-68
Kernel Estimators in Industrial Applications....Pages 69-91
Negative Selection Algorithm with Applications in Motor Fault Detection....Pages 93-115
Harmony Search Applications in Industry....Pages 117-134
Soft Computing in Bioinformatics: Genomic and Proteomic Applications....Pages 135-150
Evolutionary Regression and Neural Imputations of Missing Values....Pages 151-163
Glowworm Swarm Optimization Algorithm for Hazard Sensing in Ubiquitous Environments Using Heterogeneous Agent Swarms....Pages 165-187
Self-organization in Evolution for the Solving of Distributed Terrestrial Transportation Problems....Pages 189-205
Statistical Forecasting of Indian Summer Monsoon Rainfall: An Enduring Challenge....Pages 207-224
Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier....Pages 225-246
A Survey of Artificial Neural Network-Based Modeling in Agroecology....Pages 247-269
Software Development Knowledge Management Using Case-Based Reasoning....Pages 271-291
Learning from Demonstration and Case-Based Planning for Real-Time Strategy Games....Pages 293-310
A CBR System: The Core of an Ambient Intelligence Health Care Application....Pages 311-330
Soft Query-Answering Computing in P2P Systems with Epistemically Independent Peers....Pages 331-356
Power Distribution System Fault Diagnosis Using Hybrid Algorithm of Fuzzy Classification and Artificial Immune Systems....Pages 357-372
Detection of Phishing Attacks: A Machine Learning Approach....Pages 373-383
Back Matter....Pages -

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Softcomputing techniques play a vital role in the industry. This book presents several important papers contributed by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc.

The softcomputing techniques presented in this book are on (or closely related to): ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, other machine learning and statistical techniques, and the combinations of the above techniques.

Content:
Front Matter....Pages -
Optimization of Industrial Processes Using Improved and Modified Differential Evolution....Pages 1-22
Noise-Robust Tool Condition Monitoring in Micro-milling with Hidden Markov Models....Pages 23-46
Dynamically Self-generated Fuzzy Neural Networks with Industry Applications....Pages 47-68
Kernel Estimators in Industrial Applications....Pages 69-91
Negative Selection Algorithm with Applications in Motor Fault Detection....Pages 93-115
Harmony Search Applications in Industry....Pages 117-134
Soft Computing in Bioinformatics: Genomic and Proteomic Applications....Pages 135-150
Evolutionary Regression and Neural Imputations of Missing Values....Pages 151-163
Glowworm Swarm Optimization Algorithm for Hazard Sensing in Ubiquitous Environments Using Heterogeneous Agent Swarms....Pages 165-187
Self-organization in Evolution for the Solving of Distributed Terrestrial Transportation Problems....Pages 189-205
Statistical Forecasting of Indian Summer Monsoon Rainfall: An Enduring Challenge....Pages 207-224
Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier....Pages 225-246
A Survey of Artificial Neural Network-Based Modeling in Agroecology....Pages 247-269
Software Development Knowledge Management Using Case-Based Reasoning....Pages 271-291
Learning from Demonstration and Case-Based Planning for Real-Time Strategy Games....Pages 293-310
A CBR System: The Core of an Ambient Intelligence Health Care Application....Pages 311-330
Soft Query-Answering Computing in P2P Systems with Epistemically Independent Peers....Pages 331-356
Power Distribution System Fault Diagnosis Using Hybrid Algorithm of Fuzzy Classification and Artificial Immune Systems....Pages 357-372
Detection of Phishing Attacks: A Machine Learning Approach....Pages 373-383
Back Matter....Pages -
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