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 layo...

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Bibliografiske detaljer
Hovedforfatter: Prasad, Bhanu (Éditeur intellectuel)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Serier:Studies in Fuzziness and Soft Computing 226
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Edition sous un autre format:• Soft Computing Applications in Industry, Texte imprimé, 9783540774648
Indholdsfortegnelse:
  • 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