LVQNET 1.10 — a program for neural net and statistical pattern recognition

Published: 01-01-1992| Version 1 | DOI: 10.17632/2ptsmh64r2.1
Contributors:
A Cherubini,
R Odorico

Description

Abstract A neural net program for pattern classification is presented. The neural net architecture is based on an improved version of Kohonen's learning vector organization: learning vector quantization with training count. The number of times a neuron is trained by input patterns of each class is stored in newly introduced training counters. This information, together with other which is collected during training, is used at the end of each training epoch for pruning, merging and creating neurons, an... Title of program: LVQNET Catalogue Id: ACJM_v1_0 Nature of problem Pattern classification. Versions of this program held in the CPC repository in Mendeley Data ACJM_v1_0; LVQNET; 10.1016/0010-4655(92)90152-O ACJM_v2_0; NEURAL; 10.1016/0010-4655(96)00010-0 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

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