Neural 2.00 — A program for neural net and statistical pattern recognition

Published: 1 August 1996| Version 1 | DOI: 10.17632/9bw3xb3my8.1
Contributor:
R. Odorico

Description

Abstract A neural net program for pattern classification is presented, which includes: i) an improved version of Kohonen's learning vector quantization (LVQ with training count); ii) feed-forward neural networks with back-propagation training; iii) Gaussian (or Mahalanobis distance) classification; iv) Fisher linear discrimination. Back-prop trainings with emulations of Intel's ETANN and Siemens' MA16 neural chips are available as options. The program has been developed for high energy physics applica... Title of program: NEURAL Catalogue Id: ACJM_v2_0 [ADDA] 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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