With recent progress in information generation, users are experiencing increasing difficulties in processing the available amounts of high-dimensional data, extracting information from it, and eventually finding a meaning in the structured data. Computational Modeling and Simulation of Intellect: Current State and Future Perspectives confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods. Researchers, instructors, designers of information and management systems, users of these systems, and graduate students will acquire the fundamental knowledge needed to be at the forefront of the research and to use it in the applications. The topic is of great importance for information and management science and technology, both currently and in future.
Author(s): Boris Igelnik
Edition: 1
Publisher: Igi Global
Year: 2011
Language: English
Pages: 686
Tags: Информатика и вычислительная техника;Искусственный интеллект;
Title
......Page 2
List of Reviewers......Page 4
Table of Contents......Page 6
Detailed Table of Contents......Page 10
Foreword......Page 19
Foreword......Page 20
Preface......Page 22
Acknowledgment......Page 30
Image Processing for Localization and Parameterization of the Glandular Ducts of Colon in Inflammatory Bowel Diseases......Page 32
The Kolmogorov Spline Network for Image Processing......Page 56
Intelligent Information Description and Recognition in Biomedical Image Databases......Page 83
Machine Learning for Visual Navigation of Unmanned Ground Vehicles......Page 112
Adaptive Dynamic Programming Applied to a 6DoF Quadrotor......Page 133
Cognitive Based Distributed Sensing, Processing, and Communication......Page 162
Biogeography-Based Optimization for Robot Controller Tuning......Page 193
An Exposition of Uncertain Reasoning Based Analysis......Page 214
Sigma Tuning of Gaussian Kernels Detection of Ischemia from Magnetocardiograms......Page 237
Artificial Neural Network Modelling for Waste......Page 255
Motivated Learning for Computational Intelligence......Page 296
Topological Coding in the Hippocampus......Page 324
Knowledge Representation as a Tool for Intelligence Augmentation......Page 352
Data Discovery Approaches for Vague Spatial Data......Page 373
Feature Selection and Ranking......Page 392
Brain-Like System for Audiovisual Person Authentication Based on Time-to-First Spike Coding......Page 415
Modeling the Intellect from a Coordination Perspective......Page 444
Information Processing by Chemical Reaction-Diffusion Media......Page 486
MLVQ......Page 516
Outlier Detection in Linear Regression......Page 541
Artificial Intelligence Techniques for Unbalanced Datasets in Real World Classification Tasks......Page 582
Ability of the 1-n-1 Complex-Valued Neural Network to Learn Transformations......Page 597
Compilation of References......Page 628
About the Contributors......Page 668
Index......Page 680
