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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Andere auteurs: Sunitiyoso, Yos (Publishing director), Avineri, Erel (Publishing director), Dahal, Keshav (Publishing director), Köppen, Mario, 1964- (Publishing director), Roy, Rajkumar, 1966- (Publishing director)
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Reeks:Advances in Soft Computing 52
Advances in Intelligent and Soft Computing 52
Online toegang:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Opmerking: 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
Inhoudsopgave:
  • 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