初始知识库 meaning in Chinese

initial knowledge base

The importance of rule extraction from trained ann is that of using the ann for the " learning " of impliedly rules within swatch knowledge , and then expressing with rules . the goal in rule refinement is to use combination of ann learning and rule extraction techniques to produce a " better " set of symbolic - rules which can then be applied back in the original problem domain . in the rule refinement process , the initial rule base is inserted into an ann by programming some of the
这样既克服了单一专家系统知识获取的“瓶颈” ，又避免了神经网络的“黑箱问题” ;对于知识求精，先把已经得到的规则转换为网络拓扑结构，利用神经网络对知识进行求精，这样可解决初始知识库存在的知识不完全、知识之间不一致、有的知识不正确等问题，改善管理决策的智能水平和增强了系统的运行效能。