Genetic Algorithims, Fuzzy Systems and Website Classification,9781613240007

Genetic Algorithims, Fuzzy Systems and Website Classification

by
ISBN13: 9781613240007
ISBN10: 1613240007
Format: Hardcover
Pub. Date: 2011-09-30
Publisher(s): Nova Science Pub Inc
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Summary

This new book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply chain through fuzzy outranking techniques; fast web page classification without accessing the web page using machine learning techniques; classification algorithms in handling noisy training data and meta data generation for automates web page classification.

Table of Contents

Preface
Design of Optimal Fuzzy Classifier Using Enhanced Genetic Algorithm
Genetic Algorithm with Gene Silencing Operator for Course Time-Tabling
Effect of Variable Mutation & Crossover Percentage on Nomadic Genetic Algorithm
Verifying Experiment for Automated Design of Mechatronic Systems Using Bond-Graph Modelling & Simulation & Genetic Programming
Design & Analysis of Type-2 Fuzzy PI Controller
A Neuro-Fuzzy Based Positioning System of Stationary Robot Manipulator Arm
Selection of Supply Chain through Fuzzy Outranking Technique
Bagging Different instead of Similar Models for Regression & Classification Problems
Fast Web Page Classification without Accessing the Web Page Using Machine Learning Techniques
Generating Best Feature Subsets for Web Page Classification Using Genetic Search
Robustness of Classification Algorithms in Handling Noisy Training Data: A Study on Noise Sensitivity
Meta Data Generation for Automated Web Page Classification
Index
Table of Contents provided by Publisher. All Rights Reserved.

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