期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：1
页码：340-343
出版社：Technopark Publications
摘要：In this paper, a design method of neural networks based on Verilog HDL hardware description language, implementation is proposed. A design of a general neuron for topologies using back propagation algorithm is described. The sigmoid nonlinear activation function is also used. 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 9.2i software. The backpropagation algorithm is one of the most useful algorithms of ANN training. In this paper, we present the neuron impleme- ntation for the in topologies that are suitable for this algorithm. The neuron is then used in a multilayer neural network. For the implementation, Verilog HDL language is used. Verilog HDL is a hardware description language which simplifies the development of complex systems because it is possible to model and simulate a digital system form a high level of abstraction and with important facilities for modular design. The purpose of this work is to suggest and analyze several neuron implementations, show a way for the integration and control of the neurons within a neural network, and describe a way to implement a simple feedforward neural network trained by BP algorithm using Xilinx 9.2i
