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。本文首先分析了目前决策支持系统研究中存在的问题,阐明了神经网络实现并行处理的机制,提出了结合神经网络的智能决策支持系统研究框架,并具体分析了重点问题的实现思路与方法,并具体分析了各级的基本任务与实现方法。最后,论文给出了基于神经网络的智能决策支持系统在番茄栽培智能模块中的应用。
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 consisting of large quantities of processing unit analogizing neural cells. The paper discusses problems in DSS, illustrates the mechanism of parallel pro- cess using neural networks, proposes the research frame of intelligent decision support system combined with neural networks, concretely describes the implementation thoughts and methods of key problems, and analyses the basic assignment and method of all levsystem based on neural networks to the application of the tomato planting
出处
《微计算机信息》
北大核心
2008年第24期109-110,219,共3页
Control & Automation
