Advances in Computational Intelligence Systems

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

      • Şafak Topçu, A. Şima 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

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.

• Computational Intelligence
• Neural Networks
• Fuzzy Systems
• Evolutionary Methods
• Robotics
• UKCI 2017

• 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

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