Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 1st Edition

  • Raymond Chiong
  • Published By:
  • ISBN-10: 1605667994
  • ISBN-13: 9781605667997
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 339 Pages | eBook
  • Original Copyright 2010 | Published/Released January 2011
  • This publication's content originally published in print form: 2010

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Intelligent systems are rapidly becoming a central focus of study for researchers as they have the ability to learn and adapt during their existence in order to achieve certain goals and objectives. Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications presents methodologies, architectures, and approaches on experiential automated learning. This critical mass of sought after research assembles the most intriguing and innovative applications, advancements, and leading studies on the methodology of intellectual computing.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Page.
Table of Contents.
Detailed Table of Contents.
1: Adaptive Learning Systems.
2: Dynamically Reconfigurable Hardware for Evolving Bio-Inspired Architectures.
3: A Lyapunov Theory-Based Neural Network Approach for Face Recognition.
4: A Self-Organizing Neural Network to Approach Novelty Detection.
5: Efficient Training Algorithm for Neuro-Fuzzy Network and Its Application to Nonlinear Sensor Characteristic Linearization.
6: Adaptive Evolutionary Systems.
7: A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency.
8: Evolutionary Approaches and Their Applications to Distributed Systems.
9: Evolutionary Based Adaptive User Interfaces in Complex Supervisory Tasks.
10: Synthesis of Analog Circuits by Genetic Algorithms and their Optimization by Particle Swarm Optimization.
11: Statistical Analysis of Computational Intelligence Algorithms on a Multi-Objective Filter Design Problem.
12: Adaptive Collective Systems.
13: Diffusion and Emergence in Social Networks.
14: Ant Colony Programming: Application of Ant Colony System to Function Approximation.
15: A Performance Comparison between Efficiency and Pheromone Approaches in Dynamic Manufacturing Scheduling.
16: Compilation of References.
About the Contributors.