Soft computing applications in industry
Author(s)
Bibliographic Information
Soft computing applications in industry
（Studies in fuzziness and soft computing, v. 226）
Springer, c2008
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The main techniques of soft computing presented include ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models. The book includes various examples and application domains such as bioinformatics, detection of phishing attacks, and fault detection of motors.
Table of Contents
Optimization of Industrial Processes Using Improved and Modified Differential Evolution.- Noise-Robust Tool Condition Monitoring in Micro-milling with Hidden Markov Models.- Dynamically Self-generated Fuzzy Neural Networks with Industry Applications.- Kernel Estimators in Industrial Applications.- Negative Selection Algorithm with Applications in Motor Fault Detection.- Harmony Search Applications in Industry.- Soft Computing in Bioinformatics: Genomic and Proteomic Applications.- Evolutionary Regression and Neural Imputations of Missing Values.- Glowworm Swarm Optimization Algorithm for Hazard Sensing in Ubiquitous Environments Using Heterogeneous Agent Swarms.- Self-organization in Evolution for the Solving of Distributed Terrestrial Transportation Problems.- Statistical Forecasting of Indian Summer Monsoon Rainfall: An Enduring Challenge.- Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier.- A Survey of Artificial Neural Network-Based Modeling in Agroecology.- Software Development Knowledge Management Using Case-Based Reasoning.- Learning from Demonstration and Case-Based Planning for Real-Time Strategy Games.- A CBR System: The Core of an Ambient Intelligence Health Care Application.- Soft Query-Answering Computing in P2P Systems with Epistemically Independent Peers.- Power Distribution System Fault Diagnosis Using Hybrid Algorithm of Fuzzy Classification and Artificial Immune Systems.- Detection of Phishing Attacks: A Machine Learning Approach.
by "Nielsen BookData"