摘要： 采用基于该神经网络技术的案例推理系统，使用交叉覆盖算法，可以有效地缩减案例的检索时间、减少案例适应性修改、提高推理效率。实验表明该系统易于设计构建，极大地提升了CBR 在实际中的应用能力。

关键词: CBR；集成系统；前馈神经网络；交叉覆盖算法

Abstract: This paper presents a CBR system based on multi-layered feedforward neural network and its alternative-covering algorithm, which can greatly decrease the time taken to perform case retrieval and matching. The experimental results indicate that the integrated technology can efficiently enhance the system performance, especially for the large-scale case-based reasoning, which can facilitate CBR system design and promote the capacity of applying CBR to real-world problem-solving.

Key words: Case-based reasoning; Hybrid system; Feedforward neural network; Alternative-covering algorithm