Implementation of Feed Forward Neural Network for Classification by Educational Board using Software Hardware Interfacing |
Author(s): |
| Monika A. Wadhai , RAIT College of Technology (Mumbai University), Nerul, Navi Mumbai, Maharashtra, India |
Keywords: |
| Artificial Neural Network, Hardware Description Language, Field Programmable Gate Arrays (FPGAs), Sigmoid Activation Function. |
Abstract |
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in the last few years, the electronic devices production field has witness a great revolution by having the new birth of the extraordinary FPGA (Field Programmable Gate Array) family platforms. These platforms are the optimum and best choice for the modern digital systems now a day. The parallel structure of a neural network makes it potentially fast for the computation of certain tasks. The same feature makes a neural network well suited for implementation in VLSI technology. In this paper a hardware design of an artificial neural network on Field Programmable Gate Arrays (FPGA) is presented. 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).General Terms-Network. |
Other Details |
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Paper ID: IJSRDV1I9055 Published in: Volume : 1, Issue : 9 Publication Date: 01/12/2013 Page(s): 1913-1915 |
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