Intelligent Systems For Automated Learning And Adaptation

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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.

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Product Details

  • ISBN-13: 9781605667980
  • Publisher: IGI Global
  • Publication date: 2/24/2011
  • Pages: 360
  • Product dimensions: 8.50 (w) x 11.00 (h) x 0.81 (d)

Table of Contents

Ch. 1 Dynamically Reconfigurable Hardware for Evolving Bio-Inspired Architectures Andres Upegui Upegui, Andres 1

Ch. 2 A Lyapunov Theory-Based Neural Network Approach for Face Recognition Li-Minn Ang Ang, Li-Minn King Hann Lim Lim, King Hann Kah Phooi Seng Seng, Kah Phooi Siew Wen Chin Chin, Siew Wen 23

Ch. 3 A Self-Organizing Neural Network to Approach Novelty Detection Marcelo Keese Albertini Albertini, Marcelo Keese Rodrigo Fernandes de Mello de Mello, Rodrigo Fernandes 49

Ch. 4 Efficient Training Algorithm for Neuro-Fuzzy Network and its Application to Nonlinear Sensor Characteristic Linearization Ajoy K. Palit Palit, Ajoy K. Walter Anheier Anheier, Walter 72

Ch. 5 A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency Salvador Garcia Garcia, Salvador Jose Ramon Cano Cano, Jose Ramon Francisco Herrera Herrera, Francisco 92

Ch. 6 Evolutionary Approaches and Their Applications to Distributed Systems Thomas Weise Weise, Thomas Raymond Chiong Chiong, Raymond 114

Ch. 7 Evolutionary Based Adaptive User Interfaces in Complex Supervisory Tasks Gary G. Yen Yen, Gary G. 150

Ch. 8 Synthesis of Analog Circuits by Genetic Algorithms and their Optimization by Particle Swarm Optimization Esteban Tlelo-Cuautle Tlelo-Cuautle, Esteban Ivick Guerra-Gomez Guerra-Gomez, Ivick Carlos Alberto Reyes-Garcia Reyes-Garcia, Carlos Alberto Miguel Aurelio Duarte-Villasenor Duarte-Villasenor, Miguel Aurelio 173

Ch. 9 Statistical Analysis of Computational Intelligence Algorithms on a Multi- Objective Filter Design Problem Flavio Teixeira Alexandre Ricardo Soares Romariz Romariz, Flavio Teixeira Alexandre Ricardo Soares 193

Ch. 10 Diffusion and Emergencein Social Networks Akira Namatame Namatame, Akira 231

Ch. 11 Ant Colony Programming: Application of Ant Colony System to Function Approximation Mariusz Boryczka Boryczka, Mariusz 248

Ch. 12 A Performance Comparison between Efficiency and Pheromone Approaches in Dynamic Manufacturing Scheduling Paolo Renna Renna, Paolo 273

Compilation of References 299

Index 334

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