The paper consists of two parts. The first part describes a class of networks called inference
networks. An inference network is a directed graph with'primitive','OR','AND'and'NOT'nodes.' …

This volume contains the papers from the first British Neural Network Society meeting held at
Queen Elizabeth Hall, King's College, London on 18--20 April 1990. The meeting was …

1 What is a Neural Network? Page 1 1 What is a Neural Network? This is the first question that
everybody asks. It can be answered more easily if the question is broken down into two parts …

This book is the first of a series of technical reports of a key research project of the Real-
World Computing Program supported by the MITI of Japan. The main goal of the project is to …

Building intelligent systems that can model human behavior has captured the attention of the
world for years. So, it is not surprising that a technology such as neural networks has …

Information theoretics vis-a-vis neural networks generally embodies parametric entities and
conceptual bases pertinent to memory considerations and information storage, information …

Introduction to Neural Networks Page 1 Introduction to Neural Networks 2nd Year UG, MSc in
Computer Science http://www.cs.bham.ac.uk/~jxb/inn.html Lecturer: Dr. John A. Bullinaria …

An Introduction to Neural Computing Page 1 Neural Networks. Vol. 1. pp. 3-16. 1988 0893-6080/88
$3.00 + .00 Printed in the USA. All rights reserved, Copyright © 1988 Pergamon Journals Ltd …

“The human mind... infinitely surpasses the powers of any finite machine”. This manifest by
Kurt Gödel, proclaimed in his Gibbs lecture to the American Mathematical Society in 1951 …

The Neural Logic Network (Neulonet) system models a wide range of human decision
making behaviors by combining the strengths of rule based expert systems and neural …