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Research on Highway Bridge Maintenance Based on the BP Neural Network

Author: XingHai
Tutor: TianYang
School: Northeastern University
Course: Accounting
Keywords: Port competitiveness Evaluation Index system BP neural net
CLC: U418.2;F542
Type: Master's thesis
Year: 2009
Downloads: 17
Quote: 0
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Abstract


With the development of the communication, the imminency problem the reconstruction to lots of bridges. In the face of the instance of the lack of bankroll, how important the objective, scientific, rational to analyse the strengthening.The main research work of this article is in connection with the status quo and features of Liaoning Provincial Highway Bridge Maintenance, based on the project,try to resolve Maintenance goals selection problem of the economic evaluation. Selection is based on taking financial constraints, costs, economic impact, social impact, environmental impact and other factors into account, build a economic evaluation model to implement the conservation program of pre-sort, in order provide a theoretical basis to achieve the conservation objectives of the decision-making optimization.This paper carried out a new appraising method which is based on the BP neural network. The method was carried on the base of the research on the appraising index system and appraising method of port competitiveness which already exist. Facing to the shortage of the method which exists in the appraising the port competitiveness currently, the paper built an appraising index system first. Then according to the index system, designed the BP nerve network model, and gave out the feasible valuation procedure. On reckoning, the paper used the MATLAB neural networks tool case (NNT) to design the net and calculate. Training and testing by studying a sample book, made the model error reach the predetermined range inner. Then an entire network model building-up was finished. Finally, the paper verified the accuracies and the feasibility of this method with the example.

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CLC: > Economic > Transportation and economic > Land,road transport economy > Chinese land,road transport, economic
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