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FPGA Based Implementation of a Discrete Hopfield Neural Network

机译:基于FPGA的离散Hopfield神经网络的实现

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摘要

Implementation of neural network is one of the most important aspects of the study on neural network, and it's also a key factor determining the real application of neural network. The DHNN neural network with output-state of {0,1} is analyzed about its basis characteristic and learning regulation. Some useful conclusions are drawn in this paper. Finally, a hardware implementation is completed in FPGAs. The simulation result shows that the implementation method of neural network presented in this paper is effective and feasible.
机译:神经网络的实现是神经网络研究最重要的方面之一,也是决定神经网络实际应用的关键因素。分析了输出状态为{0,1}的DHNN神经网络的基本特性和学习规律。本文得出了一些有用的结论。最后,在FPGA中完成了硬件实现。仿真结果表明,本文提出的神经网络实现方法是有效可行的。

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