Case-based Reasonor Based on Multi-layered Feedforward Neural Network
Huiting Liu · Jisuanji gongcheng · 2006
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.