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Soft Computing in Artificial Intelligence

  • Young Im Cho
  • Eric T. Matson

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 270)

Table of contents

  1. Front Matter
    Pages 1-9
  2. Mai Muranishi, Katsuhiro Honda, Akira Notsu
    Pages 29-38
  3. L. Atymtayeva, K. Kozhakhmet, G. Bortsova
    Pages 57-76
  4. B. Ganesh Kumar, S. R. Shankapal, A. S. Ravindran, Keith Burnham, E. Ramakrishnan
    Pages 77-91
  5. Yasunori Takemura, Muneyuki Yokoyama, Sho Omori, Ryo Shimosaka
    Pages 93-106
  6. Tae Chon Ahn, Seok Beom Roh, Zi Long Yin, Yong Soo Kim
    Pages 107-115
  7. Ho-Hyun Lee, Sang-Bok Jang, Gang-Wook Shin, Sung-Taek Hong, Myung-Geun Chun
    Pages 117-124
  8. Junji Saikawa, Takehisa Onisawa
    Pages 125-142
  9. Kenji Iwadate, Ikuo Suzuki, Michiko Watanabe, Masahito Yamamoto, Masashi Furukawa
    Pages 143-151
  10. Back Matter
    Pages 153-153

About these proceedings

Introduction

This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal pre- and β-open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, individual role adaptation for team sports, application of polynomial neural networks, recursive neuro-fuzzy algorithm for water management, application of interactive genetic algorithm, and Artificial Neural Network (ANN) model. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verification. 

 

 

Keywords

Artificial Intelligence ISIS2013 Intelligent Systems Soft Computing Symposium on Advanced Intelligent Systems

Editors and affiliations

  • Young Im Cho
    • 1
  • Eric T. Matson
    • 2
  1. 1.University of SuwonGyeonggi-doKorea, Republic of (South Korea)
  2. 2.Purdue UniversityWest Lafayette, INUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05515-2
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05514-5
  • Online ISBN 978-3-319-05515-2
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • Buy this book on publisher's site
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