Design of a neural-based A/D converter using modified Hopfield network
Design of a neural-based A/D converter using modified Hopfield network
复制标题
使用改进的 Hopfield 网络设计基于神经的 A/D 转换器
DOI：
10.1109/4.34101
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发表时间：
1989
影响因子：
5.4
通讯作者：
B. Sheu
中科院分区：
文献类型：
--
作者：
B. W. Lee;B. Sheu
与Hopfield网络相关的体系结构可用于信号处理目的的几个重要工程优化功能的VLSI实现。研究Hopfield网络能量函数的局部极小值的性质。在基于Hopfield神经的模数转换器中，提出了一种消除这些局部极小值的设计方法。基于神经网络的数据转换器的输出特性与理论结果吻合较好。>
The architecture associated with the Hopfield network can be utilized in the VLSI realization of several important engineering optimization functions for signal processing purposes. The properties of local minima in the energy function of Hopfield networks are investigated. A design technique to eliminate these local minima in the Hopfield neural-based analog-to-digital converter has been developed. Experimental data agree well with theoretical results in the output characteristics of the neural-based data converter. >