[1]李志刚,邓学钧,洪锋.基于模糊感知器的路面性能预测方法[J].东南大学学报(自然科学版),2001,31(2):104-106.[doi:10.3969/j.issn.1001-0505.2001.02.025] 　Li Zhigang,Deng Xuejun,Hong Feng.A Pavement Performance Predicting Method on the Fuzzy Perceptron[J].Journal of Southeast University (Natural Science Edition),2001,31(2):104-106.[doi:10.3969/j.issn.1001-0505.2001.02.025] 点击复制 基于模糊感知器的路面性能预测方法() 分享到： var jiathis_config = { data_track_clickback: true };

31

2001年第2期

104-106

2001-03-20

文章信息/Info

Title:
A Pavement Performance Predicting Method on the Fuzzy Perceptron

Author(s):
College of Traffic and Transportation Engineering, Southeast University, Nanjing 210096)

Keywords:

U416.217
DOI:
10.3969/j.issn.1001-0505.2001.02.025

Abstract:
By using fuzzy perceptron artificial neural network, an intelligent predicting model of the pavement performance is attempt to establish. The principle of artificial neural network and model structure are analyzed by the numbers and the detailed arithmetic is made out. On the basis of surveying data, the predicting model is validated and proved to be used in practice. And according to different performance indices, the corresponding predicting model of the neural network can be established. It is used to predict the indices in next year. The virtues of the neural network and fuzzy theory are combined, so the fuzzy and uncertain matter is solved preferably in the prediction of the pavement performance.

参考文献/References:

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[2] 沈世镒.神经网络系统理论及其应用.北京:科学出版社,1998.42～57
[3] 焦李成.神经网络计算.西安:西安电子科技大学出版社,1993.77～86