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

Description

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. Front Matter ....Pages i-xii Front Matter ....Pages 1-1 On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms (Kevin Wilson, Shahin Rostami)....Pages 3-15 The Influence of Age Assignments on the Performance of Immune Algorithms (Alessandro Vitale, Antonino Di Stefano, Vincenzo Cutello, Mario Pavone)....Pages 16-28 Evolutionary Constraint in Artificial Gene Regulatory Networks (Alexander P. Turner, George Lacey, Annika Schoene, Nina Dethlefs)....Pages 29-40 Exploiting Tournament Selection for Efficient Parallel Genetic Programming (Darren M. Chitty)....Pages 41-53 Front Matter ....Pages 55-55 Solving Partial Differential Equations with Bernstein Neural Networks (Sina Razvarz, Raheleh Jafari, Alexander Gegov)....Pages 57-70 Daily Energy Price Forecasting Using a Polynomial NARMAX Model (Catherine McHugh, Sonya Coleman, Dermot Kerr, Daniel McGlynn)....Pages 71-82 Model Selection in Online Learning for Times Series Forecasting (Waqas Jamil, Abdelhamid Bouchachia)....Pages 83-95 Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers (Raheleh Jafari, Sina Razvarz, Alexander Gegov, Satyam Paul)....Pages 96-107 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 Front Matter ....Pages 121-121 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 Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm (Will Serrano)....Pages 138-149 Generating ANFISs Through Rule Interpolation: An Initial Investigation (Jing Yang, Changjing Shang, Ying Li, Fangyi Li, Qiang Shen)....Pages 150-162 Disentangling the Latent Space of (Variational) Autoencoders for NLP (Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt)....Pages 163-168 A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection (Zheqi Yu, Shufan Yang, Keliang Zhou, Amar Aggoun)....Pages 169-178 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 A Study on CNN Transfer Learning for Image Classification (Mahbub Hussain, Jordan J. Bird, Diego R. Faria)....Pages 191-202 Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation (Noe Elisa, Jie Li, Zheming Zuo, Longzhi Yang)....Pages 203-214 Front Matter ....Pages 215-215 A Method of Abstractness Ratings for Chinese Concepts (Xiaomei Wang, Chang Su, Yijiang Chen)....Pages 217-226 Effective Diagnosis of Diabetes with a Decision Tree-Initialised Neuro-fuzzy Approach (Tianhua Chen, Changjing Shang, Pan Su, Grigoris Antoniou, Qiang Shen)....Pages 227-239 A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets (Marcia Amstelvina Saul, Shahin Rostami)....Pages 240-251 Classification of Heterogeneous Data Based on Data Type Impact on Similarity (Najat Ali, Daniel Neagu, Paul Trundle)....Pages 252-263 Clustering-Based Fuzzy Finite State Machine for Human Activity Recognition (Gadelhag Mohmed, Ahmad Lotfi, Caroline Langensiepen, Amir Pourabdollah)....Pages 264-275 Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data (Saad Mohamad, Damla Arifoglu, Chemseddine Mansouri, Abdelhamid Bouchachia)....Pages 276-290 Online Object Trajectory Classification Using FPGA-SoC Devices (Pranjali Shinde, Pedro Machado, Filipe N. Santos, T. M. McGinnity)....Pages 291-302 Key Frame Extraction and Classification of Human Activities Using Motion Energy (David Ada Adama, Ahmad Lotfi, Caroline Langensiepen)....Pages 303-311 A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm (Meng Yuan Chen, Yong Jian Wu, Hongmei He)....Pages 312-324 Front Matter ....Pages 325-325 Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks (Abubakr Awad, Wei Pang, George M. Coghill)....Pages 327-338 Mining Unit Feedback to Explore Students’ Learning Experiences (Zainab Mutlaq Ibrahim, Mohamed Bader-El-Den, Mihaela Cocea)....Pages 339-350 Dimension Reduction Based on Geometric Reasoning for Reducts (Naohiro Ishii, Ippei Torii, Kazunori Iwata, Kazuya Odagiri, Toyoshiro Nakashima)....Pages 351-361 Anomaly Detection in Activities of Daily Living Using One-Class Support Vector Machine (Salisu Wada Yahaya, Caroline Langensiepen, Ahmad Lotfi)....Pages 362-371 Towards Active Muscle Pattern Analysis for Dynamic Hand Motions via sEMG (Jiahan Li, Yinfeng Fang, Yongan Huang, Gongfa Li, Zhaojie Ju, Honghai Liu)....Pages 372-382 A Novel Crossings-Based Segmentation Approach for Gesture Recognition (Dario Ortega Anderez, Ahmad Lotfi, Caroline Langensiepen)....Pages 383-391 Back Matter ....Pages 393-394