基于自适应神经模糊推理系统的企业市场预测

Business market forecasting based on adaptive neural-fuzzy inference system

针对传统的市场预测方法几乎回避了市场信息具有模糊性的特点,出现的用神经网络进行市场预测又不能表达模糊语言的情况,分析了自适应神经模糊推理系统的结构机理,提出了用自适应神经模糊推理系统进行企业市场预测;仿真结果说明了该方法的有效性和可行性。

Traditional business market forecasting evades the fuzziness of market information. The neural network is applied for market forecasting recently, but it can also not express semantic fuzziness. By analyzing the mechanism of the adaptive neuro-fuzzy inference system (ANFIS), the author points out a model for business market forecasting. Simulation result illustrates the validity and feasibility of this method.