Evolutionary Machine Learning in Linguistic Knowledge Extraction - Brossura

Ahmed, Lamiaa; Badr, Amr; Abd El-Azim, Mostafa

Brossura

ISBN 10: 3659891037 ISBN 13: 9783659891038

Casa editrice: LAP LAMBERT Academic Publishing, 2016

Riassunto

This book is proposing a hybrid algorithm of two fuzzy genetic-based machine learning approaches - Michigan and Pittsburgh - for designing fuzzy rule-based classification systems. The search ability of each approach is examined to efficiently find fuzzy rule-based systems with high classification accuracy. These two approaches are combined into a single hybrid algorithm. The generalization ability of fuzzy rule-based classification systems, designed by the proposed hybrid algorithm is examined on real data sets. Experimental results show that the hybrid algorithm has higher search ability within a population of individual rules and within a population of rule sets.

Su questo libro

L'autore

Dr. Lamiaa H. Ahmed is a Lecturer of Computer Science at Modern Academy in Maadi, Cairo, Egypt. Computational Intelligence, Evolutionary Programming, Membrane Computing, Fuzzy Logic, Organic Computing and Java programming language are areas of interest.

Dettagli dell?edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2016
• ISBN 10: 3659891037
• ISBN 13: 9783659891038
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 140