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
收藏
页码：3216 / 3220
页数：5
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