Hopfield神经网络的稳定性及其在投资组合中的应用

The Stability of Hopfield Neural Networks and the Application to Portfolio Theory

在取消了神经元之间的连接权系数对称限制的基础上 ,讨论了 Hopfield神经网络的稳定性 ,得到了一些有益结论 .并将其应用于 Hopfield神经网络算法的改进上 .进而依据改进的算法以有价证券的选择为例进行了随机模拟 ,取得了令人满意的结果 .

We analyze Hopfield neural networks dynamic system, come to some beneficial conclusions, which we utilize to improve the Hopfield neural network algorithm. In the end, we take stock selection as example to simulate and the results testify the value of conclusions.