Magazine article from our research archive:

CONSTRUCTIVE GRADIENT NEURAL NETWORK

Abstract:

The paper deals with a description of a constructive neural network based on gradient initial setting of its weights. The network has been used as a pattern classifier of two dimensional patterns but it can be generally used to n × m associative problems. A network topology, processes of learning and retrieving, experiments and comparison to other neural networks are described.

Key words: Constructive neural networks, back propagation, corner isolation problem, learning, Cascade Correlation, Levenherg-Marquardt

Received: October 14, 2005

Revised and accepted: December 1, 2005

1. Introduction

Multilayer networks with fixed topology are the most commonly used artificial neural ...

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