Title | Advances in Computational Intelligence Systems [electronic resource] : Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK / edited by Ahmad Lotfi, Hamid Bouchachia, Alexander Gegov, Caroline Langensiepen, Martin McGinnity |
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Imprint | Cham : Springer International Publishing : Imprint: Springer, 2019 |
Edition | 1st ed. 2019 |
Connect to | https://doi.org/10.1007/978-3-319-97982-3 |
Descript | XII, 394 p. 140 illus. online resource |
On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms -- The Influence of Age Assignments on the Performance of Immune Algorithms -- Evolutionary Constraint in Artificial Gene Regulatory Networks -- Exploiting Tournament Selection for Efficient Parallel Genetic Programming -- Solving Partial Differential Equations with Bernstein Neural Networks -- Daily Energy Price Forecasting Using a Polynomial NARMAX Model -- Model Selection in Time Series Forecasting -- Fuzzy Modeling for Uncertain Nonlinear Systems using Fuzzy Equations and Z-numbers -- Medical Expert Systems – A Study of Trust and Acceptance by Healthcare Stakeholders -- Agent Based Micro-Simulation of a Passenger Rail System Using Customer Survey Data -- Fintech Bitcoin Smart Investment based on the Random Neural Network with a Genetic Algorithm -- Generating ANFISs through Rule Interpolation: An Initial Investigation -- Disentangling the Latent Space of (Variational) Autoencoders for NLP -- A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection -- Learning from Interaction: An Intelligent Networked based Human-bot and Bot-bot Chatbot System -- A Study on CNN Transfer Learning for Image Classification -- Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation -- A Method of Abstractness Ratings for Chinese Concepts -- Effective Diagnosis of Diabetes with a Decision Tree-initialised Neuro-fuzzy Approach -- A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets -- Classification of Heterogeneous Data Based on Data Type Impact on Similarity -- Clustering-based Fuzzy Finite State Machine for Human Activity Recognition -- Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data -- Online Object Trajectory Classification using FPGA-SoC Devices -- Key Frame Extraction and Classification of Human Activities using Motion Energy -- A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm -- Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks -- Mining Unit Feedback to Explore Students' Learning Experiences -- Dimension Reduction Based on Geometric Reasoning for Reducts -- Anomaly Detection in Activities of Daily Living using One-Class Support Vector Machine -- Towards Active Muscle Pattern Analysis for Dynamic Hand Motions via SEMG -- A Novel Crossings-based Segmentation Approach for Gesture Recognition