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对Hopfield神经网络（H.N.N）在纠错编译码技术中的具体应用进行了研究，分析指出了该网络与循环码，尤其是Golay码的关系，提出了一种采用高阶互连网络实现循环码最大似然译码的方法。并且实现了一套有效的算法，非常完满地解决了（23．12）Golay码的完全译码。最后指明了硬件实现的思路。
The specific application of Hopfield neural network (HNN) in error correction coding and decoding technology is studied. The relationship between this network and cyclic codes, especially Golay codes, is analyzed. A new scheme of using high-order interconnection network to realize cyclic codes Maximum likelihood decoding method. And an effective algorithm is implemented, which completely solves the complete decoding of (23.12) Golay codes. Finally pointed out the idea of hardware implementation.