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Intelligent Technologies from Theory to Applications New Trends in Intelligent Technologies 1st Edition by Peter Sincak ISBN 1586032569 9781586032562

  • SKU: BELL-2104772
Intelligent Technologies from Theory to Applications New Trends in Intelligent Technologies 1st Edition by Peter Sincak ISBN 1586032569 9781586032562
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Intelligent Technologies from Theory to Applications New Trends in Intelligent Technologies 1st Edition by Peter Sincak ISBN 1586032569 9781586032562 instant download after payment.

Publisher: IOS Press
File Extension: PDF
File size: 25.44 MB
Pages: 359
Author: Peter Sincak
ISBN: 9781586032562, 1586032569
Language: English
Year: 2002

Product desciption

Intelligent Technologies from Theory to Applications New Trends in Intelligent Technologies 1st Edition by Peter Sincak ISBN 1586032569 9781586032562 by Peter Sincak 9781586032562, 1586032569 instant download after payment.

Intelligent Technologies from Theory to Applications New Trends in Intelligent Technologies 1st Edition by Peter Sincak - Ebook PDF Instant Download/Delivery: 1586032569, 9781586032562

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Product details:

ISBN 10: 1586032569

ISBN 13: 9781586032562

Author: Peter Sincak

Annotation Intelligent Technologies including neural network, evolutionary computations, fuzzy approach and mainly hybrid approaches are very promising tools to build intelligent technologies in general. The progress of each theory or application is provided by a number of various theoretical as well as applicational experiments. Machine intelligence is the only alternative how to increase the level of technology to make technology more human-centred and more effective for society. This book includes theoretical as well as applicational papers in the field of neural networks, fuzzy systems and mainly evolutionary computations which application potential was increased by enormous progress in computer power. Hybrid technologies are still progressing and are trying to make some more applications with their ability to learn and process fuzzy information. Neurogenetic systems are very interesting approach to make systems re-configurable and on-line systems for real-world applications. The book is presenting papers from Japan, USA, Hungary, Poland, Germany, Finland, France, Slovakia, United Kingdom, Czech Republic and some other countries. This publication provides the latest state of the art in the field and could be contributed to theory and applications in the machine intelligence tools and their wide application potential in current and future technologies within the Information Society.

Table of contents:

  1. Superconvergence Concept in Machine Learning

  2. Application of the Parallel Population Learning Algorithm to Training Feedforward

  3. Markovian Architectural Bias of Recurrent Neural Networks

  4. SOFM Training Speedup

  5. Human Centered Intelligent Robots Using Ontological Neural Network

  6. Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential

  7. Automatic Modularization of Structured ANNs

  8. Neural Structure as a Modular Developmental System

  9. A Method For Learning of Hierarchical Fuzzy Systems

  10. Risk Analysis in Fuzzy Flow Networks

  11. Validation Sets in R₁fuzzy Logics and RSfuzzy Logics

  12. A Constraint Handling Method for the Differential Evolution Algorithm

  13. Formal Approach

  14. Genetic Algorithms with Changing Criterion Functions

  15. A Tool for Data Mining Support

  16. Particle Swarm Optimization Method for Constrained Optimization Problems

  17. Prediction Systems Based on FIR Neural Network with Correction of Error

  18. Complex Cognitive Phenomena Challenge for Artificial Intelligence

  19. A Prototypecentered Aproach to Adding Deduction Capability to Search Engines

  20. On Uninorms and their Residual Implicators

  21. Adaptation of Fuzzy Controllers Based on Incremental Models

  22. Optimal Order of Convergence for α-cut Based Fuzzy Interpolators

  23. Properties of Fuzzy Controller with Conditionally Firing Rules

  24. An Algorithm for the Network Steiner Tree Problem with Fuzzy Edge Lengths

  25. Estimation Distribution Algorithm for Mixed ContinuousDiscrete Optimization

  26. The Experimental Study of the Competing Coevolution Using PredatorPrey

  27. Distributed Learning in Behavioral Based Mobile Robot Control

  28. A Way through the Labyrinth of Search Space

  29. A New Approach to Image Reconstruction from Projection

  30. New Approach to Estimation of Pulse Coupled Neural Network Parameters in Image

  31. Neural Networks for SISD Real Time Control

  32. Prediction of the Index Fund on the Basis of Fuzzy Inference Systems

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Tags: Peter Sincak, Intelligent, Technologies, Theory, Applications, New Trends

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