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Advances in Computational Intelligence and Learning : Methods and Applications

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Cover of 'Advances in Computational Intelligence and Learning : Methods and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Accuracy and Transparency of Fuzzy Systems
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    Chapter 2 Should Tendency Assessment Precede Rule Extraction by Clustering? (No!)
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    Chapter 3 A Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications
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    Chapter 4 Investigating Neural Network Efficiency and Structure by Weight Investigation
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    Chapter 5 An Evaluation of Confidence Bound Estimation Methods for Neural Networks
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    Chapter 6 Compensation of Periodic Disturbances in Continuous Processing Plants by Means of a Neural Controller
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    Chapter 7 Predictive Control with Restricted Genetic Optimisation
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    Chapter 8 Adaptive Parameterization of Evolutionary Algorithms and Chaotic Populations
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    Chapter 9 Neuro-Fuzzy Systems for Rule-Based Modelling of Dynamic Processes
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    Chapter 10 Hybrid Intelligent Architectures using a Neurofuzzy Approach
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    Chapter 11 Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism
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    Chapter 12 Using An Evolutionary Strategy to Select Input Features for a Neural Network Classifier
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    Chapter 13 Advances in Machine Learning
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    Chapter 14 Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages
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    Chapter 15 Fuzzy Model-Based Reinforcement Learning
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    Chapter 16 A Cellular Space for Feature Extraction and Classification
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    Chapter 17 A Fuzzy Approach to Taming the Bullwhip Effect
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    Chapter 18 Forecast of Short Term Trends in Stock Exchange using Fuzzy Rules and Neural Networks on Multiresolution Processed Signals
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    Chapter 19 Customer Relationship Management: A Combined Approach by Customer Segmentation and Database Marketing
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    Chapter 20 A new Vendor Evaluation Product for SAP R/3® Systems
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    Chapter 21 About Robustness of Fuzzy Logic PD and PID Controller under Changes of Reasoning Methods
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    Chapter 22 Control of MIMO Dead Time Processes Using Fuzzy Relational Models
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    Chapter 23 Fuzzy Sliding Mode Controllers Synthesis through Genetic Optimization
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    Chapter 24 Fuzzy RED: Congestion Control for TCP/IP Diff-Serv
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    Chapter 25 The Use of Reinforcement Learning Algorithms in Traffic Control of High Speed Networks
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    Chapter 26 Fuzzy Reasoning in WCDMA Radio Resource Functions
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    Chapter 27 Odour Classification based on Computational Intelligence Techniques
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    Chapter 28 Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings
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    Chapter 29 Automated Design of Multi-Drilling Gear Machines
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    Chapter 30 Optimal Design of Alloy Steels Using Genetic Algorithms
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    Chapter 31 Intelligent Systems in Biomedicine
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    Chapter 32 Diagnosis Of Aphasia Using Neural And Fuzzy Techniques
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    Chapter 33 Gene Expression Data Mining for Functional Genomics using Fuzzy Technology
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    Chapter 34 Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms
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    Chapter 35 Perspectives of Computational Intelligence
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Citations

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Title
Advances in Computational Intelligence and Learning : Methods and Applications
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-010-0324-7
ISBNs
978-9-40-100324-7, 978-9-40-103872-0
Editors

Zimmermann, Hans-Jürgen, Dounias, Georgios, Someren, Maarten, Tselentis, Georgios

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Saudi Arabia 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 38%
Lecturer > Senior Lecturer 1 13%
Student > Ph. D. Student 1 13%
Professor 1 13%
Researcher 1 13%
Other 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Engineering 3 38%
Chemistry 1 13%
Mathematics 1 13%