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Manuscript Title: NEURAL 2.00, a program for neural net and statistical pattern recognition.
Authors: R. Odorico
Program title: NEURAL
Catalogue identifier: ACJM_v2_0
Distribution format: gz
Journal reference: Comput. Phys. Commun. 96(1996)314
Programming language: Fortran.
Computer: DEC ALPHA VAX 3000-400.
Operating system: VMS.
Word size: 32
Keywords: Computers, Neural networks, Learning vector, Quantization, Back propagation, Multilayered perceptron, Feed forward networks, Statistical, Discrimination, Pattern classification.
Classification: 6.4.

Nature of problem:
Pattern classification.

Solution method:
Four different methods for pattern classification are employed: (i) Learning Vector Quantization with Training Count, (ii) Feed-Forward neural networks with Back-Propagation training, (iii) Gaussian classification, (iv) Fisher's linear discriminant.

Restrictions:
None.

Running time:
It depends on the complexity of the problem. The test run was completed in 140 sec of cpu time on a Alpha VAX 3000-400.

References:
[1] A. Cherubini and R. Odorico, Comp. Phys. Commun. 72(1992)249.