Table of contents

  1. Front Matter
    Pages i-xii
  2. Modelling and Representation

  3. Optimisation

    1. Front Matter
      Pages 89-89
    2. Khaled Alrajhi, Jonathan Thompson, Wasin Padungwech
      Pages 91-103
    3. Darren M. Chitty
      Pages 104-118
    4. Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang, Qingfu Zhang
      Pages 119-131
    5. Şafak Topçu, A. Şima Etaner-Uyar
      Pages 132-144
  4. Learning

    1. Front Matter
      Pages 157-157
    2. Naohiro Ishii, Ippei Torii, Kazunori Iwata, Kazuya Odagiri, Toyoshiro Nakashima
      Pages 159-170
    3. Qianqian Zhou, Chih-Min Lin, Fei Chao
      Pages 171-182
    4. John B. Butcher, Abigail V. Rutter, Adam J. Wootton, Charles R. Day, Josep Sulé-Suso
      Pages 183-190

About these proceedings

Introduction

The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer-reviewed contributions presented at the 17th Annual UK Workshop on Computational Intelligence, held on September 6-8, 2017, in Cardiff, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

Keywords

Computational Intelligence Neural Networks Fuzzy Systems Evolutionary Methods Robotics UKCI 2017

Editors and affiliations

  • Fei Chao
    • 1
  • Steven Schockaert
    • 2
  • Qingfu Zhang
    • 3
  1. 1.Xiamen UniversityXiamen ShiChina
  2. 2.Cardiff UniversityCardiffUnited Kingdom
  3. 3.Department of Computer ScienceCity University of Hong KongKowloonHong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-66939-7
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-66938-0
  • Online ISBN 978-3-319-66939-7
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book