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

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 l...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Lotfi, Ahmad (Editör), Bouchachia, Hamid (Editör), Gegov, Alexander (Editör), Langensiepen, Caroline (Editör), McGinnity, Martin (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Advances in Intelligent Systems and Computing, 840
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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