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Advances in Computational Intelligence and Learning : Methods and Applications / edited by Hans-Jürgen Zimmermann, Georgios Tselentis, Maarten van Someren, Georgios Dounias
(International Series in Intelligent Technologies ; 18)

データ種別 電子ブック
出版者 Dordrecht : Springer Netherlands : Imprint: Springer
出版年 2002
本文言語 英語
大きさ XVI, 515 p : online resource

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EB0105374

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内容注記 Accuracy and Transparency of Fuzzy Systems
Should Tendency Assessment Precede Rule Extraction by Clustering? (No!)
A Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications
Investigating Neural Network Efficiency and Structure by Weight Investigation
An Evaluation of Confidence Bound Estimation Methods for Neural Networks
Compensation of Periodic Disturbances in Continuous Processing Plants by Means of a Neural Controller
Predictive Control with Restricted Genetic Optimisation
Adaptive Parameterization of Evolutionary Algorithms and Chaotic Populations
Neuro-Fuzzy Systems for Rule-Based Modelling of Dynamic Processes
Hybrid Intelligent Architectures using a Neurofuzzy Approach
Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism
Using An Evolutionary Strategy to Select Input Features for a Neural Network Classifier
Advances in Machine Learning
Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages
Fuzzy Model-Based Reinforcement Learning
A Cellular Space for Feature Extraction and Classification
A Fuzzy Approach to Taming the Bullwhip Effect
Forecast of Short Term Trends in Stock Exchange using Fuzzy Rules and Neural Networks on Multiresolution Processed Signals
Customer Relationship Management: A Combined Approach by Customer Segmentation and Database Marketing
A new Vendor Evaluation Product for SAP RJ3® Systems
About Robustness of Fuzzy Logic PD and PID Controller under Changes of Reasoning Methods
Control of MIMO Dead Time Processes Using Fuzzy Relational Models
Fuzzy Sliding Mode Controllers Synthesis through Genetic Optimization
Fuzzy RED: Congestion Control for TCP/IP Diff-Serv
The Use of Reinforcement Learning Algorithms in Traffic Control of High Speed Networks
Fuzzy Reasoning in WCDMA Radio Resource Functions
Odour Classification based on Computational Intelligence Techniques
Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings
Automated Design of Multi-Drilling Gear Machines
Optimal Design of Alloy Steels Using Genetic Algorithms
Intelligent Systems in Biomedicine
Diagnosis Of Aphasia Using Neural And Fuzzy Techniques
Gene Expression Data Mining for Functional Genomics using Fuzzy Technology
Symbolic, Neural and Neuro-fuizy Approaches to Pattern Recognition in Cardiotocograms
Perspectives ofComputational Intelligence
一般注記 Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches. The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence
著者標目 Zimmermann, Hans-Jürgen editor
Tselentis, Georgios editor
Someren, Maarten van editor
Dounias, Georgios editor
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Operations research
LCSH:Decision making
LCSH:Artificial intelligence
LCSH:Mathematical logic
FREE:Mathematics
FREE:Mathematical Logic and Foundations
FREE:Artificial Intelligence (incl. Robotics)
FREE:Operation Research/Decision Theory
分 類 DC23:511.3
巻冊次 ISBN:9789401003247 REFWLINK
ISBN 9789401003247
URL http://dx.doi.org/10.1007/978-94-010-0324-7
目次/あらすじ

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