Intelligence decision supporting algorithms of production planning based on Hopfield network

This paper is one of the series of papers about the research of kinds of Neural Networks´ application on the auto-decision of production planning. This one lays emphasis upon the design of the optimal production planning intelligent algorithms to keep the manufacture financing stability in product cycle, and consider what kind of algorithms are useful and effective. The author mainly concern and research into the optimal production planning algorithms designed by Fuzz Hopfield Networks, such as problems of manufacture financing by optimal product schedule. The analysis and experiment results are elaborated in turn, which are all prove its effectiveness and feasibility.