RBF神经网络在企业预警中的应用研究

S. Yang
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引用次数: 0

摘要

企业预警管理是现代企业管理的一种新模式。将神经网络(NN)引入企业管理是人工智能的新发展方向之一。将径向基函数(RBF)神经网络引入到企业预警管理中。采用复合指数法对指标进行处理。并提出了一种动态最近邻聚类算法来计算隐节点数和中心值,克服了大多数近邻算法对参数的依赖。采用基于复合指数法的监测指标,建立了数学模型。采用RBF神经网络的仿真结果表明,该方法具有良好的效果,也证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Application of RBF NN on Enterprise Early-warning
Enterprise early-warning management is a new mode in the modern enterprise management. The introduction of Neural Network (NN) into enterprise management is one of the newly development orientations of artificial intelligence. The Radial Basis Function (RBF) NN was introduced into enterprise early-warning management. The method of compound index was applied to deal with the indexes. And a dynamic nearest neighbor-clustering algorithm was putted forward to computer the hidden nodes’ number and center value, which overcome the dependence of most neighbor algorithm on parameters. Using the monitoring indexes based on the compound index method, the mathematics model was constructed. Simulation result that adopted RBF NN indicates that the method has good effect, which also proves the validity of this method.
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