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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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Edición: | 1st ed. 2008. |
Colección: | Studies in Fuzziness and Soft Computing,
226 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.