基于神经网络的智能DSS研究  

Neural network intelligent decision support system

作　　者：兰壮丽[1] 赵勇[1] 张文宇[1] 

机构地区：[1]西北工业大学自动控制系,陕西西安710072

出　　处：《西安科技学院学报》2004年第2期207-210,共4页

摘　　要：决策支持系统(DSS)是综合利用大量数据、有机组合众多模型、通过人机交互、辅助各级决策者实现科学决策的系统。神经网络是由大量类似于神经元的处理单元相互连接而成的非线性复杂网络系统。它的应用涉及到模式识别、自动控制、优化计算和联想记忆、军事应用以及决策支持系统,特别是神经网络和决策支持系统结合可以实现推理系统的自适应并行联想推理及数据开采的自动化。将专家系统引入神经网络智能决策支持系统中是DSS未来的发展方向。Decision support system is a system that can use large quantities of data and assist the users to make scientific decision by constituting models through man machine interaction. Neural network is a nonlinearity complex network system which consists of large quantities of processing unit analogying neural cells. Its application involves pattern identify, auto control, classic computation, associated memory, military application and decision support system. Combining of neural network with decision support system can realize parallel associated self-adapting in reasoning and automation of data mining. Introducing expert system into neural network intelligent DSS is the future development trend of DSS.

关 键 词：神经网络 决策支持系统 专家系统 数据开采 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]