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Advances in Computational Intelligence Systems

Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Ahmad Lotfi

    1. School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

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  2. Hamid Bouchachia

    1. Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom

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  3. Alexander Gegov

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

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  4. Caroline Langensiepen

    1. School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

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  5. Martin McGinnity

    1. College of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

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  • Presents recent research on Computational Intelligence Systems
  • Covers a wide range of application areas
  • Collects edited contributions presented at the 18th UK Workshop on Computational Intelligence (UKCI-2018), held in Nottingham, UK on September 5-7, 2018

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 840)

Included in the following conference series:

Conference proceedings info: UKCI 2018.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Search and Optimisation

    1. Front Matter

      Pages 1-1
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    2. On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms

      • Kevin Wilson, Shahin Rostami
      Pages 3-15

    3. The Influence of Age Assignments on the Performance of Immune Algorithms

      • Alessandro Vitale, Antonino Di Stefano, Vincenzo Cutello, Mario Pavone
      Pages 16-28

    4. Evolutionary Constraint in Artificial Gene Regulatory Networks

      • Alexander P. Turner, George Lacey, Annika Schoene, Nina Dethlefs
      Pages 29-40

    5. Exploiting Tournament Selection for Efficient Parallel Genetic Programming

      • Darren M. Chitty
      Pages 41-53

  3. Modelling and Representation

    1. Front Matter

      Pages 55-55
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    2. Solving Partial Differential Equations with Bernstein Neural Networks

      • Sina Razvarz, Raheleh Jafari, Alexander Gegov
      Pages 57-70

    3. Daily Energy Price Forecasting Using a Polynomial NARMAX Model

      • Catherine McHugh, Sonya Coleman, Dermot Kerr, Daniel McGlynn
      Pages 71-82

    4. Model Selection in Online Learning for Times Series Forecasting

      • Waqas Jamil, Abdelhamid Bouchachia
      Pages 83-95

    5. Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers

      • Raheleh Jafari, Sina Razvarz, Alexander Gegov, Satyam Paul
      Pages 96-107

    6. Medical Expert Systems – A Study of Trust and Acceptance by Healthcare Stakeholders

      • Ioannis Vourgidis, Shadreck Joseph Mafuma, Paul Wilson, Jenny Carter, Georgina Cosma
      Pages 108-119

  4. Learning and Adaptation

    1. Front Matter

      Pages 121-121
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    2. Agent Based Micro-simulation of a Passenger Rail System Using Customer Survey Data and an Activity Based Approach

      • Omololu Makinde, Daniel Neagu, Marian Gheorghe
      Pages 123-137

    3. Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm

      • Will Serrano
      Pages 138-149

    4. Generating ANFISs Through Rule Interpolation: An Initial Investigation

      • Jing Yang, Changjing Shang, Ying Li, Fangyi Li, Qiang Shen
      Pages 150-162

    5. Disentangling the Latent Space of (Variational) Autoencoders for NLP

      • Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt
      Pages 163-168

    6. A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection

      • Zheqi Yu, Shufan Yang, Keliang Zhou, Amar Aggoun
      Pages 169-178

    7. Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System

      • Jordan J. Bird, Anikó Ekárt, Diego R. Faria
      Pages 179-190

    8. A Study on CNN Transfer Learning for Image Classification

      • Mahbub Hussain, Jordan J. Bird, Diego R. Faria
      Pages 191-202
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Other volumes

  1. Advances in Computational Intelligence Systems

Keywords

About this book

This book presents the latest trends in and approaches to computational intelligence research and its application to intelligent systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, clustering and classification, machine learning, data mining, cognition and robotics, and deep learning. The individual chapters are based on peer-reviewed contributions presented at the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018), held in Nottingham, UK on September 5-7, 2018. The book puts a special emphasis on novel 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 Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Ahmad Lotfi, Caroline Langensiepen

  • Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom

    Hamid Bouchachia

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

    Alexander Gegov

  • College of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Martin McGinnity

Bibliographic Information

  • Book Title: Advances in Computational Intelligence Systems

  • Book Subtitle: Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK

  • Editors: Ahmad Lotfi, Hamid Bouchachia, Alexander Gegov, Caroline Langensiepen, Martin McGinnity

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-97982-3

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-319-97981-6Published: 12 August 2018

  • eBook ISBN: 978-3-319-97982-3Published: 10 August 2018

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XII, 394

  • Number of Illustrations: 140 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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