Aimed at the low self-learning ability drawbacks of traditional expert system, artificial neural networks(ANN) were applied in crop nutrition diagnosis system.
针对传统专家系统自学习能力差的缺点，设计了基于神经网络的作物营养诊断专家系统。
A new statistical algorithm for on line maintenance of knowledgebase has been presented. It is of self learning and able to update the knowledgebase of real time expert system.
提出一种知识库在线维护的统计算法，用于过程的在线机器自动学习维护。
The object of this research is to set up the neural network expert system of judging the abnormal state in acquiring knowledge , so to make it have the ability of self-learning on-line.
本课题旨在建立神经网络高炉异常炉况判断专家系统，并解决传统专家系统在知识获取方面的“瓶颈”问题，使其具有在线学习能力。
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