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Advances in Computational Intelligence Systems

Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Thomas Jansen

    1. Department of Computer Science, Aberystwyth University, Aberystwyth, UK

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  2. Richard Jensen

    1. Department of Computer Science, Aberystwyth University, Aberystwyth, UK

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  3. Neil Mac Parthaláin

    1. Department of Computer Science, Aberystwyth University, Aberystwyth, UK

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  4. Chih-Min Lin

    1. Department of Electrical Engineering, Yuan Ze University , Taoyuan, Taiwan

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  • Presents a snapshot of current developments in computational intelligence
  • Provides applications of state-of-the-art computational intelligence techniques
  • Exhibits new approaches for data mining and machine learning

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1409)

Included in the following conference series:

Conference proceedings info: UKCI 2021.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xi
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  2. Fuzzy Systems

    1. Front Matter

      Pages 1-1
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    2. An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models

      • Muhammad Zaiyad Muda, George Panoutsos
      Pages 3-14

    3. Fuzzy Multi-Criteria Decision-Making: Example of an Explainable Classification Framework

      • Hesham Yusuf, Kai Yang, George Panoutsos
      Pages 15-26

    4. Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making

      • Chengyuan Chen, Qiang Shen
      Pages 27-37

    5. Fuzzy Intelligent System for Improving High Availability of a Docker-Based Hybrid Cloud Infrastructure

      • Nitin Naik
      Pages 38-50

    6. A Study of Neuro-Weighted Nearest-Neighbour Classification

      • Qianyi Zhang, Guanli Yue, Yanpeng Qu, Ansheng Deng
      Pages 51-60

    7. Q-Routing with Multiple Soft Requirements

      • Trevor Martin, Douglas Harewood-Gill, Reza Nejabati
      Pages 61-67

  3. Evolutionary Algorithms

    1. Front Matter

      Pages 69-69
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    2. Avoiding Excess Computation in Asynchronous Evolutionary Algorithms

      • Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa et al.
      Pages 71-82

    3. Stochasticity Improves Evolvability in Artificial Gene Regulatory Networks

      • Alexander Turner, Katharina C. Wollenberg Valero
      Pages 83-94

    4. ACO Inspired GA Mutation Applied to the TSP

      • Darren M. Chitty
      Pages 95-107

    5. Centralised and Decentralised Control of Video Game Agents

      • Sam G. Robinson, Chloe M. Barnes, Peter R. Lewis
      Pages 108-120

    6. An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization

      • Savas Yuce, Ke Li
      Pages 121-128

  4. Neural Networks/Deep Learning

    1. Front Matter

      Pages 129-129
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    2. Discrete-Time Recurrent Neural Network for Solving Multi-linear \(\mathcal {M}\)-tensor Equation

      • Huanmei Wu, Shuqiao Wang, Xiujuan Du, Mei Liu
      Pages 131-143

    3. An Approach to Implementing Convolutional Neural Network Based on Low Density FPGA

      • Hanzhong Zhang, Qihuan Li, Xin Bai, Zhengxia Wang, Lu Lou
      Pages 144-152

    4. Towards a Framework for Interpretation of CNN Results with ANFIS

      • Muhammad Ismail, Changjing Shang, Qiang Shen
      Pages 153-166

    5. Syntactic Dependency Constraint Based Graph Convolutional Network for Aspect Level Sentiment Classification

      • Jinpeng You, Dazhen Lin, Donglin Cao, Fei Chao
      Pages 167-178

    6. Faster RCNN Hyperparameter Selection for Breast Lesion Detection in 2D Ultrasound Images

      • Anu Bose, Tuan Nguyen, Hongbo Du, Alaa AlZoubi
      Pages 179-190
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Other volumes

  1. Advances in Computational Intelligence Systems

Keywords

About this book

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.

Editors and Affiliations

  • Department of Computer Science, Aberystwyth University, Aberystwyth, UK

    Thomas Jansen, Richard Jensen, Neil Mac Parthaláin

  • Department of Electrical Engineering, Yuan Ze University , Taoyuan, Taiwan

    Chih-Min Lin

Bibliographic Information

  • Book Title: Advances in Computational Intelligence Systems

  • Book Subtitle: Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK

  • Editors: Thomas Jansen, Richard Jensen, Neil Mac Parthaláin, Chih-Min Lin

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-87094-2

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-87093-5Published: 18 November 2021

  • eBook ISBN: 978-3-030-87094-2Published: 17 November 2021

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XI, 579

  • Number of Illustrations: 50 b/w illustrations, 207 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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