Synthesis of Hopfield Neural Network: Novel Results

2026-08-26

AI Summary

本文通过逻辑基础合成具有期望超立方体角作为稳定状态的Hopfield神经网络，解决了其编程问题，证明了可以将更多超立方体角编程为稳定状态。

Abstract

Using the logical basis of synthesizing Hopfield Neural Network with desired corners of hypercube as stable states (proposed in [1]), it is proved that more corners of hypercube can be programmed as stable states (whether the number of neurons is even or odd). The research paper presents a new perspective to the so called "Programming Problem" of Hopfield Neural Network.

Problem

• Hopfield Neural Network
• stable states
• hypercube
• programming problem

Innovation

• Hopfield Neural Network
• Programming Problem
• Stable States