An approach to setting the architecture and the initial weights of an artificial neural network for solving classification problems is presented. A nonneural phase finds an approximate solution to the classification problems by constraining the shape of classification regions. After an appropriate mapping into a neural net, neural training is applied to refine the solution. Results on an image recognition application are presented

A technique for defining the architecture and weights of a neural image classifier

ROLI, FABIO;
1992-01-01

Abstract

An approach to setting the architecture and the initial weights of an artificial neural network for solving classification problems is presented. A nonneural phase finds an approximate solution to the classification problems by constraining the shape of classification regions. After an appropriate mapping into a neural net, neural training is applied to refine the solution. Results on an image recognition application are presented
1992
0-7803-0532-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1085445
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