Application of Neural Expert System in the Input Initializing Module of Knowledge Prescribing System

摘要

Input initializing module is the first module of knowledge prescribing system. Input the annual plan and financial data of the enterprise into the input initializing module first, the module would decompose them and find out problems expressed in natural language that the enterprise needs to know, such as why, how, and so on. There may be several problems as the inputs of next stage. Input initializing module consists of four parts: plan and aim analyzing system, factor solving expert system, management operation analysis system and explain expert system. This paper consummates the input initializing module mentioned last year, and discusses how to use neural expert system to realize the kernel parts of this module.