Analysis and Implementation of an Artificial Learning System based on the Cognitive Process of the Human Brain

Abstract

This article presents the analysis and implementation of an artificial learning system that bases its functioning on the cognitive process of the human brain. The proposed system is able to learn and memorize, through training, some pattern and later it is possible to recognize it even when there are some variants in what it intends to use for recognition. The computational theory of artificial neural networks was used to design the system, in addition to the MATLAB© multitasking platform.

Country : Mexico

1 Juan A. Rios C2 Carlos A. Ruiz3 Celedonio A. Meza

  1. Universidad del Valle de México S.C. San Juan de Dios #6 Col. Arboledas del Sur, CDMX
  2. Escuela Superior de Ingeniería Mecánica y Eléctrica Unidad Culhuacan, IPN, Av. Santa Ana #1000, Col. San Francisco Culhuacan CDMX
  3. Escuela Superior de Ingeniería Mecánica y Eléctrica Unidad Culhuacan, IPN, Av. Santa Ana #1000, Col. San Francisco Culhuacan CDMX

IRJIET, Volume 2, Issue 7, September 2018 pp. 1-7

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