Soft Computing in Industrial Applications : Recent Trends
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that...
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| Auteur principal: | |
|---|---|
| Autres auteurs: | , , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Collection: | Advances in Soft Computing
39 Advances in Intelligent and Soft Computing 39 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Soft Computing in Industrial Applications, Texte imprimé, 9783540707042 |
Table des matières:
- Invited Keynote Hybrid Dynamic Systems in an Industry Design Application I: Soft Computing in Computer Graphics, Imaging and Vision Object Recognition Using Particle Swarm Optimization on Fourier Descriptors Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments Differential Evolution for the Registration of Remotely Sensed Images Geodesic Distance Based Fuzzy Clustering II: Control Systems Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training Applying Particle Swarm Optimization to Adaptive Controller B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-Tube Prototype III: Pattern Recognition Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Systems Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool IV: Classification Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification AFC-ECG: An Adaptive Fuzzy ECG Classifier A Self-organizing Fuzzy Neural Networks V: Soft Computing for Modeling, Optimization and Information Processing A Particle Swarm Approach to Quadratic Assignment Problems Population-Based Incremental Learning for Multiobjective Optimisation Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling Differential Evolution for Binary Encoding VI: Soft Computing in Civil Engineering and Other Applications Prioritization of Pavement Stretches Using Fuzzy MCDM Approach A Case Study A Memetic Algorithm for Water Distribution Network Design Neural Network Models for Air Quality Prediction: A Comparative Study Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations