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Advances in Computational Intelligence Systems

Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Plamen Angelov

    1. School of Computing and Communications, Lancaster University Bailrigg School of Computing and Communications, Lancaster, United Kingdom

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  2. Alexander Gegov

    1. School of Computing, University of Portsmouth School of Computing, Portsmouth, United Kingdom

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  3. Chrisina Jayne

    1. School of Comp. Sci. & Digital Media, Robert Gordon University School of Comp. Sci. & Digital Media, Aberdeen, United Kingdom

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  4. Qiang Shen

    1. Ins. of Mathematics, Physics & Comp. Sci, Aberystwyth University Ins. of Mathematics, Physics & Comp. Sci, Aberystwyth, United Kingdom

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  • Reports on cutting-edge research in computational intelligence
  • Covers a wide range of application areas
  • Give emphasis to novel computational intelligence methods
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 513)

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Table of contents (32 papers)

  1. Front Matter

    Pages i-ix
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  2. Search and Optimisation

    1. Front Matter

      Pages 1-1
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    2. The Pilot Environmental Performance Index 2006 as a Tool for Optimising Environmental Sustainability at the Country Level

      • Tatiana Tambouratzis Fima
      Pages 3-17

    3. Integrated Demand and Supply Side Pricing Optimization Schemes for Electricity Market

      • Zixu Liu, Xiao-Jun Zeng
      Pages 19-34

    4. Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing

      • Adeel Ahmed, David J. Brown, Alexander Gegov
      Pages 35-44

    5. Harmony Search Algorithm for Fuzzy Cerebellar Model Articulation Controller Networks Optimization

      • Dajun Zhou, Fei Chao, Chih-Min Lin, Minghui Shi, Changle Zhou
      Pages 45-58

    6. A Dynamic Tabu Search Approach for Solving the Static Frequency Assignment Problem

      • Khaled Alrajhi, Wasin Padungwech
      Pages 59-70

    7. A New Multi-objective Model for Constrained Optimisation

      • Tao Xu, Jun He, Changjing Shang, Weiqin Ying
      Pages 71-85

  3. Modelling and Simulation

    1. Front Matter

      Pages 87-87
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    2. Complex Network Based Computational Techniques for ‘Edgetic’ Modelling of Mutations Implicated with Cardiovascular Disease

      • Ken McGarry, Kirsty Emery, Vithusa Varnakulasingam, Sharon McDonald, Mark Ashton
      Pages 89-106

    3. TSK Inference with Sparse Rule Bases

      • Jie Li, Yanpeng Qu, Hubert P. H. Shum, Longzhi Yang
      Pages 107-123

    4. Complexity Control in Rule Based Models for Classification in Machine Learning Context

      • Han Liu, Alexander Gegov, Mihaela Cocea
      Pages 125-143

    5. Modified Evolving Participatory Learning Algorithms for Takagi-Sugeno Fuzzy System Modelling from Streaming Data

      • Dong-Jiao Ge, Xiao-Jun Zeng
      Pages 145-163

    6. Guiding Fuzzy Rule Interpolation with Information Gains

      • Fangyi Li, Changjing Shang, Ying Li, Qiang Shen
      Pages 165-183

  4. Analysis and Detection

    1. Front Matter

      Pages 185-185
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    2. Harnessing the Power of Text Mining for the Detection of Abusive Content in Social Media

      • Hao Chen, Susan Mckeever, Sarah Jane Delany
      Pages 187-205

    3. Towards Chinese Metaphor Comprehension Based on Attribute Statistic Analysis

      • Hualin Zeng, Xianming Lin, Changle Zhou, Fei Chao
      Pages 207-217

    4. Bioinformatic Analysis Using Complex Networks and Clustering Proteins Linked with Alzheimer’s Disease

      • Suthinan Rujirapipat, Ken McGarry, David Nelson
      Pages 219-230

    5. Applications of Asymmetric Networks to Bio-Inspired Neural Networks for Motion Detection

      • Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki
      Pages 231-244

    6. Content Representation for Microblog Rumor Detection

      • Ben Ma, Dazhen Lin, Donglin Cao
      Pages 245-251
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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 16th Annual UK Workshop on Computational Intelligence, held on September 7-9, 2016, in Lancaster, 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

  • School of Computing and Communications, Lancaster University Bailrigg School of Computing and Communications, Lancaster, United Kingdom

    Plamen Angelov

  • School of Computing, University of Portsmouth School of Computing, Portsmouth, United Kingdom

    Alexander Gegov

  • School of Comp. Sci. & Digital Media, Robert Gordon University School of Comp. Sci. & Digital Media, Aberdeen, United Kingdom

    Chrisina Jayne

  • Ins. of Mathematics, Physics & Comp. Sci, Aberystwyth University Ins. of Mathematics, Physics & Comp. Sci, Aberystwyth, United Kingdom

    Qiang Shen

Bibliographic Information

  • Book Title: Advances in Computational Intelligence Systems

  • Book Subtitle: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK

  • Editors: Plamen Angelov, Alexander Gegov, Chrisina Jayne, Qiang Shen

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-46562-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-46561-6Published: 07 September 2016

  • eBook ISBN: 978-3-319-46562-3Published: 06 September 2016

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: IX, 508

  • Number of Illustrations: 69 b/w illustrations, 100 illustrations in colour

  • Topics: Computational Intelligence, Image Processing and Computer Vision, Control and Systems Theory, Artificial Intelligence

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