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Soft Computing in Artificial Intelligence

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Young Im Cho

    1. University of Suwon, Gyeonggi-do, Korea, Republic of (South Korea)

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  2. Eric T. Matson

    1. Purdue University, West Lafayette, IN, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Recent research in soft computing in artificial intelligence
  • Scientific outcome of the 14th International Symposium on Advanced Intelligent Systems (ISIS2013), held on November 13 - 16, 2013 at PaiChai University in Daejeon, Korea focusing on Soft Computing in Artificial Intelligence
  • Written by experts in the field

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

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Table of contents (13 papers)

  1. Front Matter

    Pages 1-9
    Download chapter PDF

  2. Fuzzy (r, s)-Minimal Preopen Sets and Fuzzy (r, s)-M Precontinuous Mappings on (r, s)-Fuzzy Minimal Spaces

    • Young Key Kim, Won Keun Min
    Pages 1-8

  3. On Fuzzy (r,s)-Minimal β-Open Sets on (r,s)-Fuzzy Minimal Spaces

    • Young Key Kim, Won Keun Min
    Pages 9-17

  4. Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches

    • Katsuhiro Honda, Akira Notsu, Chi-Hyon Oh
    Pages 19-27

  5. Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering of Documents and Keywords

    • Mai Muranishi, Katsuhiro Honda, Akira Notsu
    Pages 29-38

  6. Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance

    • Shunsuke Iwata, Katsuhiro Honda, Akira Notsu
    Pages 39-47

  7. Combination of Genetic Algorithm and Ant Colony Optimization for QoS Multicast Routing

    • Bo Peng, Lei Li
    Pages 49-56

  8. Building a Knowledge Base for Expert System in Information Security

    • L. Atymtayeva, K. Kozhakhmet, G. Bortsova
    Pages 57-76

  9. Fuzzy Logic and Neural Network Based Induction Control in a Diesel Engine

    • B. Ganesh Kumar, S. R. Shankapal, A. S. Ravindran, Keith Burnham, E. Ramakrishnan
    Pages 77-91

  10. Evaluation and Analysis of Relationship between Roles and Individual’s Role Adaptation in Team Sports Using SOM

    • Yasunori Takemura, Muneyuki Yokoyama, Sho Omori, Ryo Shimosaka
    Pages 93-106

  11. Design of Radial Basis Function Classifier Based on Polynomial Neural Networks

    • Tae Chon Ahn, Seok Beom Roh, Zi Long Yin, Yong Soo Kim
    Pages 107-115

  12. Recursive Neuro-Fuzzy Algorithm for Flow Prediction and Pump On-Off Minimization

    • Ho-Hyun Lee, Sang-Bok Jang, Gang-Wook Shin, Sung-Taek Hong, Myung-Geun Chun
    Pages 117-124

  13. Logotype Design Support System Based on Sketches

    • Junji Saikawa, Takehisa Onisawa
    Pages 125-142

  14. An Artificial Neural Network Based on the Architecture of the Cerebellum for Behavior Learning

    • Kenji Iwadate, Ikuo Suzuki, Michiko Watanabe, Masahito Yamamoto, Masashi Furukawa
    Pages 143-151

  15. Back Matter

    Pages 153-153
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Keywords

About this book

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. 

 

 

Editors and Affiliations

  • University of Suwon, Gyeonggi-do, Korea, Republic of (South Korea)

    Young Im Cho

  • Purdue University, West Lafayette, IN, USA

    Eric T. Matson

Bibliographic Information

  • Book Title: Soft Computing in Artificial Intelligence

  • Editors: Young Im Cho, Eric T. Matson

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-05515-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-05514-5Published: 19 March 2014

  • eBook ISBN: 978-3-319-05515-2Published: 08 July 2014

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: X, 153

  • Number of Illustrations: 61 b/w illustrations, 12 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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