Design and implementation of a single layer feed forward neural network using stand-alone architecture FPGAs-based platform

Walid A .mahmoud*; Munther h.**; Muthana h.**

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Design and implementation of a single layer feed forward neural network using stand-alone architecture FPGAs-based platform

Walid A .mahmoud*, Munther h.**, Muthana h.**

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING
2005, Volume 5, Issue 2, Pages 1-17

Abstract

Abstract:A single layer feed-forward neural network are proposed and implemented using theschematic editor of the Xilinx foundation series 2.1i. First the mathematical model of thedata set (weights and inputs) is presented in a matrix multiplication format. Secondly thefive design stages are presented and implemented without using the finite state machine,which control the processes of the forward propagation phase, error calculation, and thetraining algorithm. Finally the design can be optimized to decrease the total execution timeand to minimize the cost, which eventually will increase the performance and improve thefunction density.

Keywords

feed forward, neural network, FPGA, schematic editor, stand-alone.

Year	Total	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
2022	41	3	6	3	3	1	3	8	5	2		5	2
2021	32	1	5	1		7	7	2	3	1	3	1	1
2020	22		1		2		6	3	1	2	1	3	3
2019	48		1	2	1	1	2		4	3	1		33
2018	51	1	1	9	11	13	6	3		2	2	2	1
2017	22	1	2		1	3		5	4		1	1	4
2016	20			3			1		6	4	4		2
2015	33			7	3	1	3	4	4	3	6		2
2014	31	6	5	1	1	4	1	1		4	3	2	3
2013	64		4	5	9	5	13	4	6	1	6	7	4

Design and implementation of a single layer feed forward neural network using stand-alone architecture FPGAs-based platform

Abstract

Keywords

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