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Hardware Implementation of Backpropagation Neural Networks on Field programmable Gate Array (FPGA) | ||
| Al-Rafidain Engineering Journal (AREJ) | ||
| Article 8, Volume 16, Issue 3, 2008, Pages 62-70 PDF (0 K) | ||
| DOI: 10.33899/rengj.2008.44649 | ||
| Author | ||
| Rafid Ahmed Khalil | ||
| Abstract | ||
| In this paper, a design method of neural networks based on VHDL hardware description language, and FPGA implementation is proposed. A design of a general neuron for topologies using backpropagation algorithm is described. The sigmoid nonlinear activation function is also implemented. The neuron is then used in the design and implementation of a neural network using Xilinx Spartan-3e FPGA. The simulation results obtained with Xilinx ISE 8.2i software. The results are analyzed in terms of operating frequency and chip utilization. Key words : Artificial, Neural , Network, Backprobagation, FPGA,VHDL. | ||
| Keywords | ||
| Key Words; Neural; Network; Backprobagation; FPGA; VHDL | ||
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