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 |
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| 100 | 1 | |a Saad, Ashraf, |d 19..-...., |c chercheur en informatique. | |
| 245 | 1 | 0 | |a Soft Computing in Industrial Applications : |b Recent Trends |c edited by Ashraf Saad, Keshav Dahal, Muhammad Sarfraz, Rajkumar Roy. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Advances in Soft Computing |v 39 |x 1615-3871 | |
| 490 | 0 | |a Advances in Intelligent and Soft Computing |v 39 |x 1867-5662 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 were presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students | ||
| 700 | 1 | |a Dahal, Keshav. |4 pbd | |
| 700 | 1 | |a Roy, Rajkumar, |d 1966- |4 pbd | |
| 700 | 1 | |a Sarfraz, Muhammad. |4 pbd | |
| 776 | 0 | |t Soft Computing in Industrial Applications |b Texte imprimé |z 9783540707042 | |
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