介绍了BIT的工作方式和灵巧BIT的类型,重点研究了基于人工神经网络和案例推理在灵巧BIT中的实现技术,分析了人工神经网络在BIT中的特点,提出基于案例推理实现的自提高预测专家系统模型.

This paper introduces the BIT working modes and kinds of smart BIT, focus on the technology implemented by artificial neural networks (ANN) and case-based reasoning (CBR),analyzes the characteristics of the ANN used in BIT. The Self-lmproving Predicting Expert System model basd on CBR is presented in the paper.

TN95