APPLICATION OF NEURONAL NETWORKS TO ENHANCE MULTI-ANSWER PROBLEMS TO IMPROVE QUALITY

Authors

  • Juan Cevallos Ampuero Universidad Nacional Mayor de San Marcos. Lima, Peru

DOI:

https://doi.org/10.15381/idata.v7i2.6129

Keywords:

Quality improvement, Multianswer, Neuronal network.

Abstract

This article deals with the application of neuronal networks in multi-answer problems to improve quality. From a conceptual analysis, an application showing the efficiency of neuronal networks using the backpropagation network with training is shown through backpropagation-traingdn.

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Author Biography

  • Juan Cevallos Ampuero, Universidad Nacional Mayor de San Marcos. Lima, Peru

    Magíster en Ingeniería Industrial. Profesor del Departamento de Gestión y Producción Industrial, UNMSM.

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Published

2004-12-31

Issue

Vol. 7 No. 2 (2004)

Section

Producción y Gestión

License

Copyright (c) 2004 Juan Cevallos Ampuero

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

AUTHORS RETAIN THEIR RIGHTS:

a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.

b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.

c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).

How to Cite

APPLICATION OF NEURONAL NETWORKS TO ENHANCE MULTI-ANSWER PROBLEMS TO IMPROVE QUALITY. (2004). Industrial Data, 7(2), 031-034. https://doi.org/10.15381/idata.v7i2.6129