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Advances in Computational Intelligence Systems

Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Fei Chao

    1. Xiamen University, Xiamen Shi, China

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  2. Steven Schockaert

    1. Cardiff University, Cardiff, United Kingdom

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  3. Qingfu Zhang

    1. Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong

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  • Presents recent research on Computational Intelligence Systems
  • Covers a wide range of application areas
  • Collects the edited contributions presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 650)

Included in the following conference series:

Conference proceedings info: UKCI 2017.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xii
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  2. Modelling and Representation

    1. Front Matter

      Pages 1-1
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    2. Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation

      • John Heritage, Sharon McDonald, Ken McGarry
      Pages 3-16

    3. Sentiment Analysis Model Based on Structure Attention Mechanism

      • Kai Lin, Dazhen Lin, Donglin Cao
      Pages 17-27

    4. Fuzzy Representation for Flexible Requirement Satisfaction

      • Ratih N. E. Anggraini, T. P. Martin
      Pages 28-36

    5. A Multidisciplinary Method for Constructing and Validating Word Similarity Datasets

      • Yu Wan, Yidong Chen, Xiaodong Shi, Guorong Cai, Libai Cai
      Pages 37-48

    6. Fuzzy Connected-Triple for Predicting Inter-variable Correlation

      • Zhenpeng Li, Changjing Shang, Qiang Shen
      Pages 49-62

    7. Data Integration with Self-organising Neural Network Reveals Chemical Structure and Therapeutic Effects of Drug ATC Codes

      • Ken McGarry, Ennock Assamoha
      Pages 63-74

    8. A Modified Approach to Inferring Animal Social Networks from Spatiotemporal Data Streams

      • Pu Zhang, Qiang Shen
      Pages 75-87

  3. Optimisation

    1. Front Matter

      Pages 89-89
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    2. A Heuristic Approach for the Dynamic Frequency Assignment Problem

      • Khaled Alrajhi, Jonathan Thompson, Wasin Padungwech
      Pages 91-103

    3. Applying ACO to Large Scale TSP Instances

      • Darren M. Chitty
      Pages 104-118

    4. A New Steady-State MOEA/D for Sparse Optimization

      • Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang, Qingfu Zhang
      Pages 119-131

    5. A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation

      • Åžafak Topçu, A. Åžima Etaner-Uyar
      Pages 132-144

    6. A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization

      • Xiaogang Fu, Jianyong Sun, Qingfu Zhang
      Pages 145-156

  4. Learning

    1. Front Matter

      Pages 157-157
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    2. Generation of Reducts and Threshold Functions Using Discernibility and Indiscernibility Matrices for Classification

      • Naohiro Ishii, Ippei Torii, Kazunori Iwata, Kazuya Odagiri, Toyoshiro Nakashima
      Pages 159-170

    3. Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network

      • Qianqian Zhou, Chih-Min Lin, Fei Chao
      Pages 171-182

    4. Artificial Neural Network Analysis of Volatile Organic Compounds for the Detection of Lung Cancer

      • John B. Butcher, Abigail V. Rutter, Adam J. Wootton, Charles R. Day, Josep Sulé-Suso
      Pages 183-190

    5. Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models

      • Emmanuel M. Smith, Jim Smith, Phil Legg, Simon Francis
      Pages 191-202
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Other volumes

  1. Advances in Computational Intelligence Systems

Keywords

About this book

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.

Editors and Affiliations

  • Xiamen University, Xiamen Shi, China

    Fei Chao

  • Cardiff University, Cardiff, United Kingdom

    Steven Schockaert

  • Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong

    Qingfu Zhang

About the editors


Bibliographic Information

  • Book Title: Advances in Computational Intelligence Systems

  • Book Subtitle: Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK

  • Editors: Fei Chao, Steven Schockaert, Qingfu Zhang

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-66939-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Softcover ISBN: 978-3-319-66938-0Published: 05 September 2017

  • eBook ISBN: 978-3-319-66939-7Published: 04 September 2017

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XII, 368

  • Number of Illustrations: 143 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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