Advances in Computational Intelligence Systems: Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6–8, 2017, Cardiff, UK
Автор: Fei Chao, Steven Schockaert, Qingfu Zhang Название: Advances in Computational Intelligence Systems: Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6–8, 2017, Cardiff, UK Издательство: Springer Год: 2017 Серия: Advances in Intelligent Systems and Computing (Book 650) ISBN: 9783319669380 Язык: English Формат: pdf Размер: 29,3 mb Страниц: 368
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.
Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation John Heritage, Sharon McDonald, and Ken McGarry Sentiment Analysis Model Based on Structure Attention Mechanism Kai Lin, Dazhen Lin, and Donglin Cao Fuzzy Representation for flexible Requirement Satisfaction Ratih N.E. Anggraini and T.P. Martin A Multidisciplinary Method for Constructing and Validating Word Similarity Datasets Yu Wan, Yidong Chen, Xiaodong Shi, Guorong Cai, and Libai Cai Fuzzy Connected-Triple for Predicting Inter-variable Correlation Zhenpeng Li, Changjing Shang, and Qiang Shen Data Integration with Self-organising Neural Network Reveals Chemical Structure and Therapeutic Effects of Drug АТС Codes Ken McGarry and Ennock Assamoha A Modified Approach to Inferring Animal Social Networks from Spatiotemporal Data Streams Pu Zhang and Qiang Shen
Optimisation
A Heuristic Approach for the Dynamic Frequency Assignment Problem Khaled Alrajhi, Jonathan Thompson, and Wasin Padungwech Applying A CO to Large Seale TSP Instances Darren M. Chitty A New Steady-State MOEA/D for Sparse Optimization Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang, and Qingfu Zhang A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation Safak Topsu and A. $ima Etaner-Uyar A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization Xiaogang Fu, Jianyong Sun, and Qingfu Zhang
Learning
Generation of Reducts and Threshold Functions Using DLscernibility and Indiscernibility Matrices for Classification Naohiro Ishii, Ippei Toni, Kazunori Iwata, Kazuya Odagiri, and Toyoshiro Nakashima Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network Qianqian Zhou, Chih-Min Lin, and Fei Chao 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, and Josep Sule-Suso Predicting the Occurrence of World News Evenks Using Recurrent Neural Networks and Auto-Regressive Moving Average Models Emmanuel M. Smith, Jim Smith, Phil Legg, and Simon Francis A Comparison Study on Flush+Reload and Primes-Probe Attacks on AES Using Machine Learning Approaches Zirak Allaf, Mo Adda, and Alexander Gegov Classifying and Recommending Using Gradient Boosted Machines and Vector Space Models Humphrey Sheil and Omer Rana Sem Cluster: Unsupervised Automatic Key phrase Extraction Using Affinity Propagation Hassan H. Alrehamy and Coral Walker Control and Human-Machine Systems Towards Low-Cost РЗОО-Based BCI Using Emotiv Epoc Headset Xiangqian Liu, Fei Chao, Min Jiang, Changle Zhou, Weifeng Ren, and Minghui Shi Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network Jiangqin Xu, Zhongqiang Huang, Minghui Shi, and Min Jiang Human Activities Transfer Learning for Assistive Robotics David Ada Adama, Ahmad Lotfi, Caroline Langensiepen, and Kevin Lee 3D Simulation of Navigation Problem of People with Cerebral Visual Impairment Yahya Qasim I. Al-Fadhili, Paul W.H. Chung, Baihua Li, and Richard Bowman A Fall Detection/Recognition System and an Empirical Study of Gradient-Based Feature Extraction Approaches Ryan Cameron, Zheming Zuo, Graham Sexton, and Longzhi Yang Towards an Ontology of Trust for Situational Understanding Owain Carpanini and Federico Cerutti
Intelligent Transportation
Traffic Condition Analysis Based on Users Emotion Tendency of Microblog Shuru Wang, Donglin Cao, Dazhen Lin, and Fei Chao Fuzzy Bi-objective Chance-Constrained Programming Model for Timetable Optimization of a Bus Route Hejia Du, Hongguang Ma, and Xiang Li Solving Dial-A-Ride Problems Using Multiple Ant Colony System with fleet Size Minimisation Twinkle Tripathy, Sarat Chandra Nagavarapu, Kaveh Azizian, Ramesh Ramasamy Pandi, and Justin Dauwels Bus Scheduling Timetable Optimization Based on Hybrid Bus Sizes Haitao Yu, Hongguang Ma, Hejia Du, Xiang Li, Randong Xiao, and Yong Du Supplier’s Information Strategy in the Presence of a Dominant Retailer Ye Wang, Wansheng Tang, and Ruiqing Zhao Optimization Allocation Between Multiple Logistic Tasks and Logistic Resources Considered Demand Uncertainty Xiaofeng Xu and Jing Liu Two-Stage Heuristic Algorithm for a New Model of Hazardous Material Multi-depot Vehicle Routing Problem Wenyan Yuan, Jian Wang, Jian Li, Bailu Yan, and Jun Wu
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