Decision Support System (DSS) is the new phase of Computer-Base information System (CBIS) development. It is the combination of Computer Science, Management & Decision Science, System Control Theory and Behavior Science, etc. Where Intelligent Decision Support System (IDSS) is the main direction of DSS research and application. The development of macro-economy IDSS has important meaning to the DSS research, scientific decision-making and research of macro-economy theory. This paper mainly discusses the development of Intelligent Economic Decision Support System (IEDSS) and the application of Neural Network (NN) in IEDSS. The application of IDSS in economic process will be a challenge and aid to more scientific and efficent economic decision-making. From 1970's, there has been a worldwide mass fervor of DSS research and application. The development of computer science is the base and motivation of DSS development, and intelligence is the direction of it. I think that DSS should be intelligent comprehensive CBIS, which should support decision process of decision-maker, and mainly be used to solve semi- and un-structured problems. Economic DSS research is the need of economic reform and development of China, and IEDSS will be useful to provide policy advice for economic decision-makers. The development of DSS is necessary to explore intelligent DSS and comprehensive DSS. Therefore I present a new idea of Intelligent Comprehensive Decision Support System (ICDSS). It has higher intelligence and stronger comprehensive ability. Knowledge Base System is the kernel and base of TCDSS, and the whole system is coordinated and managed by Knowledge Management System. Also I present a knur l edge-based framework of ICDSS．DSS should be decision process oriented，and be used to support decision-making through the interaction of decision-maker and computer． From mid。1980's,neural network research has been paid closed attention by worldwide scientists．Neural Network system is a complex network system with a large number neurons distributedly connected each other．Back Propagation(BP)net is one of important model in NN research．The application of NN in economic decision process is a new effort．It implements support to simi-liar decision process by making the net sensitive to a kind of input-output pattern through learning．This paper improves the learning alg07ithm of BP net to make it has better convergence rate，and discusses the parameter selection, sample effectiveness, hidden unit selection，etc．in BP net．Also it intends to apply Newton's method in NN and introduces the training algorithms of Newton method．The applications of NN in economic decision process, such as macro-economy evaluation。 business cycle analysis and prediction．to support decision-making。have got better results． The research and application of IEDSS will promote the development of DSS
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