A new book on brain-like computing and intelligent systems

[Nikola Kasabov]

Springer Verlag 1997

BRAIN-LIKE COMPUTING AND 
INTELLIGENT INFORMATION SYSTEMS

edited by
S. Amari, RIKEN, Japan 
N. Kasabov, University of Otago, New Zealand

Contents: 

PART I. COMPUTER VISION AND IMAGE PROCESSING: 
Active Vision: Neural Network Models (K. Fukushima); 
Image Recognition by Brains and Machines (E. Postma et al.);
The Properties and Training of a Neural Network Based Universal 
Window Filter Developed for Image Processing Tasks (R.H. Pugmire et 
al.);

PART II. SPEECH RECOGNITION AND LANGUAGE PROCESSING: 
A Computational Model of the Auditory Pathway to the Superior
Colliculus  (R. J. W. Wang and M. Jabri); 
A Framework for Intelligent 'Conscious' Machines Utilising Fuzzy 
Neural Networks and Spatio-Temporal Maps and a Case Study of 
Multilingual Speech Recognition (N. Kasabov);

PART III. DYNAMIC SYSTEMS: STATISTICAL AND CHAOS MODELLING. BLIND 
SOURCE SEPARATION: 
Noise-Mediated Cooperative Behavior in Integrate-Fire Models of 
Neuron Dynamics (A.R. Bulsara);
Blind Source Separation - Mathematical Foundations (S. Amari); 
Neural Independent Component Analysis - Approaches and 
Applications (E. Oja et al.);
General Regression     Techniques Based on Spherical Kernel Functions 
for Intelligent Processing (A. Zankich and Y. Attikiouzel); 
Chaos and Fractal  Analysis of Irregular Times Series Embedded in 
a Connectionist Stucture (R. Kozma and N. Kasabov);

PART IV.LEARNING SYSTEMS AND EVOLUTIONARY COMPUTATION:
Bayesian Ying-Yang System and Theory as a Unified Statistical 
Learning Approach (I): Unsupervised and Semi-Unsupervised 
Learning (Lei Xu); 
Evolutionary Computation: An Introduction,Some Current Applications, 
and Future Directions (D. B. Fogel); 
Biologically Inspired New Operations for GeneticAlgorithms(A.Ghoshand 
and S. K. Pal). 

PART V. ADAPTIVE LEARNING FOR NAVIGATION, CONTROL 
AND DECISION MAKING: