The lengths of input vectors corresponding to different circuits are often quite different, which makes it difficult to standardize them. This paper proposes a characteristic standardization method for circuit input vectors based on hash algorithm. First, the collision rates of different hash algorithms are analyzed, and four representative hash algorithms are selected to process the input vectors. Then, based on the given dataset, their performance is analyzed from collision rate, stability and distribution characteristics, and the best performing RSHash algorithm is selected for further research. Next, we deal with the input vectors using RSHash mapping and partitioning strategy, respectively, and then apply processed input vectors to the deep autoencoder network to perform experiments. The experimental results show that the characteristic standardization method for circuit input vectors based on RSHash algorithm has better performance.

对应于不同电路的输入向量的长度通常非常不同，这使得很难对其进行标准化。提出了一种基于哈希算法的电路输入矢量特征标准化方法。首先，分析了不同哈希算法的冲突率，并选择了四种代表性哈希算法来处理输入向量。然后，基于给定的数据集，从碰撞率，稳定性和分布特性分析其性能，并选择性能最佳的RSHash算法进行进一步研究。接下来，我们分别使用RSHash映射和分区策略处理输入向量，然后将处理后的输入向量应用于深度自动编码器网络以进行实验。