Design and implementation hamming neural network with VHDL
Hamming Neural Network is type of artificial neural network consist of two types of layers (feed forward layers and recurrent layer). In this paper, two inputs of patterns in bianary number were used. In the first layer, two neurons and pure line function were used. In the second layer, three neuron...
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Institute of Advanced Engineering and Science,
2020-09-01.
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| LEADER | 01900 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs21033_14135 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Mezher, Liqaa Saadi |e author |
| 100 | 1 | 0 | |a Liqaa Saadi Mezher, Computer Engineering Department, Al-Mustansiriyah University, Baghdad, Iraq |e contributor |
| 245 | 0 | 0 | |a Design and implementation hamming neural network with VHDL |
| 260 | |b Institute of Advanced Engineering and Science, |c 2020-09-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21033 | ||
| 520 | |a Hamming Neural Network is type of artificial neural network consist of two types of layers (feed forward layers and recurrent layer). In this paper, two inputs of patterns in bianary number were used. In the first layer, two neurons and pure line function were used. In the second layer, three neurons and positive line function were used. Also applied Hamming Neural networks algorithm in three simulation methods (logical gate method, software program coding method and instant block diagram method). In this work in VHDL software program was used and FPGA hardware used. | ||
| 540 | |a Copyright (c) 2020 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Artificial Neural Network; Hamming Neural Network; Feed Forward Layer; Recurrent Layer; FPGA; VHDL. | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 19, No 3: September 2020; 1469-1479 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v19.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21033/14135 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21033/14135 |z Get fulltext |