Applications of soft computing : updating the state of art
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisi...
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| Kolejni autorzy: | , , , , |
|---|---|
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Seria: | Advances in Soft Computing
52 Advances in Intelligent and Soft Computing 52 |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Applications of Soft Computing, Texte imprimé, 9783540880783 |
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| 041 | 0 | |a eng | |
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| 245 | 0 | 0 | |a Applications of soft computing : |b updating the state of art |c edited by Erel Avineri, Mario Köppen, Keshav Dahal, Yos Sunitiyoso, 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 52 |x 1867-5670 | |
| 490 | 0 | |a Advances in Intelligent and Soft Computing |v 52 |x 1867-5670 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Design of Soft Computing Techniques Linguistic Information in Dynamical Fuzzy Systems An Overview PSO-Optimized Negative Selection Algorithm for Anomaly Detection Adaptation of Learning Parameters for Choquet Integral Agent Network by Using Genetic Algorithms Comparison of Effective Assessment Functions for Optimized Sensor System Design Visualization and Complexity Reduction of Neural Networks Modelling, Control and Optimization Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units Scheduling of Tasks in Multiprocessor System Using Hybrid Genetic Algorithms A Novel Modelling and Optimisation Technique for Business Processes: An Evolutionary Computing Based Approach Use of Multi-objective Evolutionary Algorithms in Extrusion Scale-Up Signal Processing and Pattern Recognition A Multi-Agent Classifier System Based on the Trust-Negotiation-Communication Model Error Compensation Based Directional Interpolation Algorithm for Video Error Concealment An Evolutionary Approach to Digitalized Hand Signs Recognition Civil Engineering Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach Air Quality Forecaster: Moving Window Based Neuro Models Computer Graphics, Imaging and Vision Automatic 3D Modeling of Skulls by Scatter Search and Heuristic Features Multi-modal Registration Using a Combined Similarity Measure An Investigation into Neural Networks for the Detection of Exudates in Retinal Images An Optimisation Approach to Palette Reordering for Indexed Image Compression Production, Manufacturing, and Design Weighted Tardiness Scheduling with Sequence-Dependent Setups: A Benchmark Problem for Soft Computing An Exploration of Genetic Process Mining Traffic and Transportation Systems An Adaptive Differential Evolution Algorithm Applied to Highway Network Capacity Optimization Incorporating Fuzzy Reference Points into Applications of Travel Choice Modeling The Role of the Uncertainty in ATIS Applications Human-Like Adaptive Cruise Control Systems through a Learning Machine Approach Fuzzy Evaluation of Contra-Flow Evacuation Plans in Texas Medical Center Arrow Exit Sign Placement on Highway Using Fuzzy Table Look-Up Scheme | |
| 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 is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. 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 design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. 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 Sunitiyoso, Yos. |4 pbd | |
| 700 | 1 | |a Avineri, Erel. |4 pbd | |
| 700 | 1 | |a Dahal, Keshav. |4 pbd | |
| 700 | 1 | |a Köppen, Mario, |d 1964- |4 pbd | |
| 700 | 1 | |a Roy, Rajkumar, |d 1966- |4 pbd | |
| 776 | 0 | |t Applications of Soft Computing |b Texte imprimé |z 9783540880783 | |
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