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
相关论文
共 50 条
  • [31] FPGA Design and Implementation Issues of Artificial Neural Network Based PID Controllers
    Gupta, Vikas
    Khare, K.
    Singh, R. P.
    2009 INTERNATIONAL CONFERENCE ON ADVANCES IN RECENT TECHNOLOGIES IN COMMUNICATION AND COMPUTING (ARTCOM 2009), 2009, : 860 - +
  • [32] Artificial neural network optimization for FPGA
    Bonnici, Mark
    Gaff, Edward J.
    Micallef, Joseph
    Grech, Ivan
    2006 13TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3, 2006, : 1340 - 1343
  • [33] Artificial Neural Network Based Automatic Modulation Classification System Applied to FPGA
    De Castro, Adenilson F.
    Milleo, Ronny S. R.
    Lolis, Luis H. A.
    Mariano, Andre A.
    34TH SBC/SBMICRO/IEEE/ACM SYMPOSIUM ON INTEGRATED CIRCUITS AND SYSTEMS DESIGN (SBCCI 2021), 2021,
  • [34] Implementation of a Reconfigurable Neural Network in FPGA
    Oliveira, Janaina G. M.
    Moreno, Robson Luiz
    Dutra, Odilon de Oliveira
    Pimenta, Tales C.
    2017 INTERNATIONAL CARIBBEAN CONFERENCE ON DEVICES, CIRCUITS AND SYSTEMS (ICCDCS), 2017, : 41 - 44
  • [35] FPGA implementation of a General Regression Neural Network: An embedded pattern classification system
    Polat, Oevuenc
    Yildirim, Tuelay
    DIGITAL SIGNAL PROCESSING, 2010, 20 (03) : 881 - 886
  • [36] An Efficient Digital Architecture for Principal Component Neural Network and its FPGA Implementation
    Sudha, N.
    Prasanna, Ch Siva Sai
    Kamakoti, V.
    IETE JOURNAL OF RESEARCH, 2007, 53 (05) : 425 - 431
  • [37] Implementation of Artificial Neural Network on Graphics Processing Unit for Classification Problems
    Anuar, Syahid
    Sallehuddin, Roselina
    Selamat, Ali
    COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2016, PT II, 2016, 9876 : 303 - 310
  • [38] Implementation of artificial neural network on graphics processing unit for classification problems
    Anuar S.
    Sallehuddin R.
    Selamat A.
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 9876 LNCS : 303 - 310
  • [39] Data Compression of EEG Signals for Artificial Neural Network Classification
    Birvinskas, Darius
    Jusas, Vacius
    Martisius, Ignas
    Damasevicius, Robertas
    INFORMATION TECHNOLOGY AND CONTROL, 2013, 42 (03): : 238 - 241
  • [40] FPGA-Based Implementation of an Artificial Neural Network for Measurement Acceleration in BOTDA Sensors
    Abbasnezhad, Mojtaba
    Alizadeh, Bijan
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 68 (11) : 4326 - 4334
12345