基于神经网络的案例推理及GDSS在企业中的应用

We collected and studied the format of classical cases on enterprise management,discussed the principles of case representation. The case representation is very important in Case-Based Reasoning (CBR). We analysed the various CBR similarity algorithms, and studied Artifitial Intelligent techniques such as Neural Network and Fuzzy theory to compose a appropriate retrieval model for CBR on enterprise management. By implementing a prototyping CBR system, we explored the methodology for the design and construction of CBR systems.

收集,整理国内外企业管理决策的经典案例,分析案例特点,提出案例表示和特征描述的有效椒ê鸵话阍?对现有各种相似算法进行实验分析,寻求适合的算法;运用模糊理论,神经网缍訡BR系统进行研究,提出新的模型,有效地提高CBR系统的智能水平;研究CBR系统的功能,结构框架的实现策略等,为建立CBR系统提供技术支持和方法体系..