Digital Artificial Neural Network Implementation on a FPGA for Data Classification

被引：7

作者：

Morales, C. ^{[1
]}

Flores, U. ^{[1
]}

Adam, M. ^{[2
]}

Diaz, M. ^{[3
]}

Caballero, J. A. ^{[3
]}

Criado, D. ^{[3
]}

Pavoni, S. ^{[4
]}

机构：

[1] Univ Politecn Estado Morelos, Jiutepec, Morelos, Mexico

[2] Ctr Nacl Invest & Desarrollo Tecnol, Cuernavaca, Morelos, Mexico

[3] Inst Super Politecn Jose Antonio Echeverria, Havana, Cuba

[4] Inst Super Politecn Jose Antonio Echeverria, Ctr Invest Microelect, Havana, Cuba

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2015年 / 13卷 / 10期

关键词：

Artificial Neural Network; MOSFET; Data Classification; Multilayer Perceptron;

D O I：

10.1109/TLA.2015.7387224

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：3216 / 3220

页数：5

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