Implementación de una Red Neuronal Artificial Digital sobre una FPGA para clasificación de datos (Digital Artificial Neural Network Implementation on a FPGA for data classification)

Cornelio Morales Morales (corneliomoralesmorales@gmail.com)1, Uziel Flores (uzielf54@gmail.com)1, Manuel Adam Medina (adam@cenidet.edu.mx)2, Martha Díaz Salazar3, José Abiel Caballero3, Dilaila Criado Cruz (Instituto Superior Politécnico José Antonio Echeverrí­a)3, Sonnia Pavoni Oliver (sonnia.pavoni@electrica.cujae.edu.cu)3


1Universidad Politécnica del Estado de Morelos
2Centro Nacional de Investigación y Desarrollo Tecnológico
3Instituto Superior Politécnico José Antonio Echeverrí­a

This paper appears in: Revista IEEE América Latina

Publication Date: Oct. 2015
Volume: 13,   Issue: 10 
ISSN: 1548-0992


Abstract:
This paper presents the implementation of a Digital Artificial Neural Network (ANN) of type Multilayer Perceptron trained for data classification corresponding to the output characteristic of a transistor MOSFET. The ANN digital was build and training with an adequate number of neurons and samples for achieve an approximate of 90% correct data classification of the transistor MOSFET.

Index Terms:
Artificial Neural Network, MOSFET, Data Classification, Multilayer Perceptron   


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