Machine Intelligence

Quo Vadis?

By: Peter Sincak (Editor), Kaoru Hirota (Editor), Jan Vascak (Editor)

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Hardcover | 20 April 2004

At a Glance

Hardcover
476 Pages

Dimensions(cm)
22.86 x 15.24 x 2.54

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This book brings together the contributions of leading researchers in the field of machine intelligence, covering areas such as fuzzy logic, neural networks, evolutionary computation and hybrid systems.There is wide coverage of the subject - from simple tools, through industrial applications, to applications in high-level intelligent systems which are biologically motivated, such as humanoid robots (and selected parts of these systems, like the visual cortex). Readers will gain a comprehensive overview of the issues in machine intelligence, a field which promises to play a very important role in the information society of the future.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Mathematics Applied Mathematics Mathematical Foundation Mathematical Logic Booktopia Publisher Services World Scientific Publishing

Foreword
Foreword
Preface
Introduction	p. 1
Quo Vadis computational intelligence?	p. 3
Mathematical tools for machine intelligence	p. 29
Mappings between high-dimensional representations in connectionistic systems	p. 31
The stimulating role of fuzzy set theory in mathematics and its applications	p. 47
K-order additive fuzzy measures : a new tool for intelligent computing	p. 65
On-line adaptation of recurrent radial basis function networks using the extended Kalman filter	p. 73
Iterative evaluation of anytime PSGS fuzzy systems	p. 93
Kolmogorov's spline network	p. 107
Extended Kalman filter based adaptation of time-varying recurrent radial basis function networks structure	p. 115
A multi-NF approach with a hybrid learning algorithm for classification	p. 125
A neural fuzzy classifier based on MF-ARTMAP	p. 141
Mathematical properties of various fuzzy flip-flops as a basis of fuzzy memory modules	p. 161
Generalized T-operators	p. 179
Fuzzy rule extraction from input/output data	p. 199
Knowledge discovery from continuous data using artificial neural networks	p. 217
Advanced applications with machine intelligence	p. 233
Review of fuzzy logic in the geological sciences : where we have been and where we are going	p. 235
Bayesian neural networks in prediction of geomagnetic storms	p. 251
Adaptation in intelligent systems : case studies from process industry	p. 259
Estimation and control of non-linear process using neural networks	p. 275
The use of non-linear partial least square methods for on-line process monitoring as an alternative to artificial neural networks	p. 283
Recurrent neural networks for real-time computation of inverse kinematics of redundant manipulators	p. 299
Towards perception-based fuzzy modeling : an extended multistage fuzzy control model and its use in sustainable regional development planning	p. 321
Machine intelligence for high level intelligent systems	p. 339
Neural network models for vision	p. 341
Humanoid robot for kansei communication : computer must have body	p. 357
Intelligent space and human centered robotics	p. 371
Evolution of unconscious cooperation in proportional discrete-time harvesting	p. 385
Artificial chemistry, replicators, and molecular Darwinian evolution in Silico	p. 403
Human centered support system using intelligent space and ontological neural networks	p. 427
The K.E.I. (knowledge, emotion and intention) based robot using human motion recognition	p. 435
Auditory and visual-based signal processing with interactive evolutionary computation	p. 443
Table of Contents provided by Blackwell. All Rights Reserved.

Machine Intelligence

Quo Vadis?

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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