This paper surveys the “neurally” inspired problem-solving approaches to the traveling
salesman problem, namely, the Hopfield-Tank network, the elastic net, and the self …

INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …

The maximum clique problem is a classical problem in combinatorial optimization which
finds important applications in different domains. In this paper we try to give a survey of …

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In this paper we present a survey of results concerning algorithms, complexity, and
applications of the maximum clique problem. We discuss enumerative and exact algorithms …

Problems that seem to be encountered, time and time again, by the practicing OR analyst
include: 1.(i) resource allocation (ie continuous and discrete optimization); 2.(ii) classification …

1.1 Overview We are living in a decade recently declared as the" Decade of the Brain".
Neuroscientists may soon manage to work out a functional map of the brain, thanks to …

This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …

From a management scientist's perspective, the neural networks offer three opportunities:
statistical methods, optimization methods, and a problem domain in which to apply OR …

Modern microprocessors such as Intel's Pentium chip typically contain many millions of
transistors. They are known generically as Very Large-Scale Integrated (VLSI) systems, and …