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Genetic Algorithms, Fuzzy Systems & Website Classification de Rafiq Islam

Genetic Algorithms, Fuzzy Systems & Website Classification

Editat de Rafiq Islam
en Limba Engleză Hardback – 16 mar 2012
This 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.
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Specificații

ISBN-13: 9781613240007
ISBN-10: 1613240007
Pagini: 226
Ilustrații: illustrations
Dimensiuni: 164 x 234 x 18 mm
Greutate: 0.47 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers, Inc (US)
Locul publicării:United States

Cuprins

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.