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Implementation of Multilayer Feed Forward Neural Network using VHDL

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Amitkumar B. Khonde, Yogesh Sharma, Sanjay Badjate
10.5120/ijca2016912111

Amitkumar B Khonde, Yogesh Sharma and Sanjay Badjate. Implementation of Multilayer Feed Forward Neural Network using VHDL. International Journal of Computer Applications 155(1):31-33, December 2016. BibTeX

@article{10.5120/ijca2016912111,
	author = {Amitkumar B. Khonde and Yogesh Sharma and Sanjay Badjate},
	title = {Implementation of Multilayer Feed Forward Neural Network using VHDL},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {155},
	number = {1},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {31-33},
	numpages = {3},
	url = {http://www.ijcaonline.org/archives/volume155/number1/26571-2016912111},
	doi = {10.5120/ijca2016912111},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In this paper a hardware implementation of a neural network NN using Field Programmable Gate Arrays (FPGA) is presented. A digital system architecture is designed to realize a feed forward multilayer neural network. The designed architecture is described using Very High Speed Integrated Circuits Hardware Description Language (VHDL) and implemented in an FPGA chip. The design is verified on an FPGA demo board Xilinx Spartan.

References

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Keywords

FPGA, VHDL,NN.