Horn子句能量景观的平坦性
Flatness of the Energy Landscape for Horn Clauses
摘要：
研究了用Horn子句编程的Little-Hopfield神经网络。我们认为，能源景观的系统，对应的不一致功能的逻辑解释的集合霍恩条款，具有最小的坚固性。这得到了计算机模拟的支持。
英文摘要：
The Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function for logical interpretations of the sets of Horn clauses, has minimal ruggedness. This is supported by computer simulations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
