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Material or Process Book or Chapter Title Author or Editor Publication dates

The Industrial Electronics Handbook

Intelligent Systems

Edited by: Bogdan M. Wilamowski , J. David Irwin

Print publication date:  February  2011
Online publication date:  April  2016

Print ISBN: 9781439802830
eBook ISBN: 9781439802847
Adobe ISBN:

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Book description

The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems?such as neural networks, fuzzy systems, and evolutionary methods?in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components.

Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field.

As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control.

Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems:

  • Addresses various aspects of neural networks and fuzzy systems
  • Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations
  • Discusses several applications that deal with methods of computational intelligence

Other volumes in the set:

Table of contents

Chapter  1:  Introduction to Intelligent Systems Download PDF
Chapter  2:  From Backpropagation to Neurocontrol  Download PDF
Chapter  3:  Neural Network–Based Control Download PDF
Chapter  4:  Fuzzy Logic—Based Control Section Download PDF
Chapter  5:  Understanding Neural Networks Download PDF
Chapter  6:  Neural Network Architectures Download PDF
Chapter  7:  Fuzzy Logic—Based Control Section Download PDF
Chapter  8:  GMDH Neural Networks Download PDF
Chapter  9:  Optimization of Neural Network Architectures Download PDF
Chapter  10:  Parity-N Problems as a Vehicle to Compare Efficiencies of Neural Network Architectures Download PDF
Chapter  11:  Neural Networks Learning Download PDF
Chapter  12:  Levenberg—Marquardt Training Download PDF
Chapter  13:  NBN Algorithm Download PDF
Chapter  14:  Accelerating the Multilayer Perceptron Learning Algorithms Download PDF
Chapter  15:  Feedforward Neural Networks Pruning Algorithms Download PDF
Chapter  16:  Principal Component Analysis Download PDF
Chapter  17:  Adaptive Critic Neural Network Control Download PDF
Chapter  18:  Self-Organizing Maps Download PDF
Chapter  19:  Fuzzy Logic Controllers Download PDF
Chapter  20:  Neuro-Fuzzy System Download PDF
Chapter  21:  Introduction to Type-2 Fuzzy Logic Controllers Download PDF
Chapter  22:  Fuzzy Pattern Recognition Download PDF
Chapter  23:  Fuzzy Modeling of Animal Behavior and Biomimcry: The Fuzzy Ant* Download PDF
Chapter  24:  Multiobjective Optimization Methods Download PDF
Chapter  25:  Fundamentals of Evolutionary Multiobjective Optimization Download PDF
Chapter  26:  Ant Colony Optimization Download PDF
Chapter  27:  Heuristics for Two-Dimensional Bin-Packing Problems Download PDF
Chapter  28:  Particle Swarm Optimization Download PDF
Chapter  29:  Evolutionary Computation Download PDF
Chapter  30:  Data Mining Download PDF
Chapter  31:  Autonomous Mental Development Download PDF
Chapter  32:  Synthetic Biometrics for Testing Biometric Systems and User Training Download PDF
prelims Download PDF
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