Combinations of Intelligent Methods and Applications

Ioannis Hatzilygeroudis

ISBN 10: 3319268589 / ISBN 13: 9783319268583

Published by Springer International Publishing Jan 2016, 2016

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This volumeincludes extended and revised versions of the papers presented at the 4thWorkshop on 'Combinations of Intelligent Methods and Applications' (CIMA 2014) whichwas intended to become a forum for exchanging experience and ideas amongresearchers and practitioners dealing with combinations of differentintelligent methods in Artificial Intelligence. The aim is to create integratedor hybrid methods that benefit from each of their components. Some of theexisting presented efforts combine soft computing methods (fuzzy logic, neuralnetworks and genetic algorithms). Another stream of efforts integrates case-basedreasoning or machine learning with soft-computing methods. Some of thecombinations have been more widely explored, like neuro-symbolic methods,neuro-fuzzy methods and methods combining rule-based and case-based reasoning.CIMA 2014 was held in conjunction with the 26th IEEE InternationalConference on Tools with Artificial Intelligence (ICTAI 2014). 164 pp. Englisch.

Seller Inventory # 9783319268583

Bibliographic Details

• Title: Combinations of Intelligent Methods and Applications
• Publisher: Springer International Publishing Jan 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3319268589
• ISBN 13: 9783319268583
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 15D millimeters 241 millimeters width by 160 millimeters height by 15 millimeters depth
• Weight: 418 grams

About this title

Synopsis

This volume includes extended and revised versions of the papers presented at the 4^th Workshop on “Combinations of Intelligent Methods and Applications” (CIMA 2014) which was intended to become a forum for exchanging experience and ideas among researchers and practitioners dealing with combinations of different intelligent methods in Artificial Intelligence. The aim is to create integrated or hybrid methods that benefit from each of their components. Some of the existing presented efforts combine soft computing methods (fuzzy logic, neural networks and genetic algorithms). Another stream of efforts integrates case-based reasoning or machine learning with soft-computing methods. Some of the combinations have been more widely explored, like neuro-symbolic methods, neuro-fuzzy methods and methods combining rule-based and case-based reasoning. CIMA 2014 was held in conjunction with the 26^th IEEE International Conference on Tools with Artificial Intelligence (ICTAI2014).