摘要
论文详细分析了神经网络与专家系统自身机制、处理过程及算法的异同，论述了各自的优势与不足；从功能与结构关系方面对二者的集成模式进行了分类研究，给出四种分类模式；最后给出了一个具体的集成实例的设计与分析，用于辅助管理人员进行股票评估。这个实例也进一步证明了集成系统的优势及如何增强辅助管理决策的能力。二者适当充分的集成可以构成一个更高级的智能支持系统。
This paper studies the differences of mechanism,procedures and algorithms in each of ANN and ES,and the advantages and disadvantages of each method used alone,and discusses the synergism of expert and neural network technologies.The models of integrating a knowledge based expert system with a neural network can be explored in terms of their functional and structural relationships in the models.Four integration model architectures are identified.In this case study an integrated model is designed to assist managers for forecasting the performance of stock.It demonstrates the advantages of this integrated approach and how it can enhance support for managerial decision making.
出处
《情报学报》
CSSCI
北大核心
1999年第3期202-207,共6页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学青年基金
关键词
神经网络
专家系统
集成模式
artificial neural network,expert system,integrated model.
