"The experimental result data based on the asynchronous and synchronous updates of neurons"

"This  file contains two datasets generated using a Discrete Hopfield Neural Network (DHNN). The first dataset is produced under the asynchronous neuron-updating scheme, where neurons are updated sequentially. The second dataset is generated using the synchronous updating scheme, in which all neurons are updated simultaneously. These datasets support the analysis and comparison of convergence behavior, logical consistency, and retrieval performance under the two updating mechanisms."

本文件包含两份基于离散霍普菲尔德神经网络（Discrete Hopfield Neural Network，DHNN）生成的数据集。第一份数据集采用异步神经元更新机制生成，神经元将按序依次更新；第二份数据集基于同步更新机制生成，所有神经元将同时完成更新。上述两份数据集可用于分析、对比两种更新机制下的收敛特性、逻辑一致性与检索性能。