Establishment and Analysis of Artificial Neural Network Distributed Model for Sea Wall Osmosis Pressure

Abstract

Abstract:

Abstract： In order to describe the distributed character of sea wall osmosis pressure and analyze its rule under special coastal condition, artificial neural network was considered with multiple survey point information. Coordinates of survey points were added to input layer together with former tidewater factor, integral rain factor and time effect factor. The monitored data were used to train the distributed model. Based on the training result, complementary coordinate samples were put into the model, and osmosis pressure of different locations and distributed curve were obtained. The general regression neural network was used, taking the monitored information of Pudong sea wall as instances. The instances illustrated the establishment of distributed model and the obtainment of distributed curve, although the neural network does not give apparent expressions. Moreover, sea wall osmosis pressure special distributed rules were analyzed using these results.

Key words: sea wall osmosis pressure, artificial neural network, distributed monitoring model, effect factor, coordinate

CLC Number:

TV 698.1

HUANG Ming1,LIU Jun2. Establishment and Analysis of Artificial Neural Network Distributed Model for Sea Wall Osmosis Pressure[J]. Journal of Shanghai Jiaotong University, 2014, 48(11): 1655-1659.

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