| 基于自适应模糊神经网络的货币供应量预测 |
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| 引用本文： | 孙艳芳. 基于自适应模糊神经网络的货币供应量预测[J]. 科技信息, 2011, 0(23): I0197-I0198 |
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| 作者姓名： | 孙艳芳 |
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| 作者单位： | 山东英才学院计算机学院; |
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| 摘 要： | 采用ANFIS(Adaptive Neuro-Fuzzy Inference System)进行货币供应量预测。ANFIS将模糊理论与神经网络融合,利用神经网络来实现系统的模糊逻辑推理,采用混合学习算法调整前提参数和结论参数,自动产生模糊规则。利用我国货币供应量数据对网络进行训练和检测,所得结果表明利用ANFIS预测货币供应量有效。
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| 关 键 词： | 自适应神经模糊推理系统 货币供应量预测 GDP |
Prediction for Money Supply Based on the ANFIS Model |
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| SUN Yang-fang. Prediction for Money Supply Based on the ANFIS Model[J]. Science, 2011, 0(23): I0197-I0198 |
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| Authors: | SUN Yang-fang |
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| Affiliation: | SUN Yang-fang(School of Computer Science and Electronic Engineering,Shandong Yingcai University,Jinan Shandong,250104,China) |
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| Abstract: | The application of Adaptive Neuro-Fuzzy Inference System model to forecast money supply is presented.Adaptive Neuro-Fuzzy Inference System adjusts the parameters of the fuzzy inference system with hybrid algorithm and can produce fuzzy rules automatically.This paper gives the simulation example of modeling to train and check the network,the results show the validity using ANFIS to forecast money supply. |
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| Keywords: | Adaptive neuro-fuzzy inference system Money supply prediction GDP |
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