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《Sichuan Building Science》 2008-02
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Forecast of economical technology targets in construction industry based on BP Neural Network

CUI Yina,WANG Suyan,LI Hongnan(Department of Civil & Hydraulic Engineering,DUT,Dalian 116023,China)  
The writer tries to forecast the economical technology targets based on BP Neural Network timeliness alignment.According to the forecasted results,the government has the basis of management and the construction industry has the reference of reform and development.We uses a calculated example to forecast the total value of output of construction industry of Liaoning Province in year 2005 to 2015.According to t-test,the result from 5000 times training and imitating obey the normal distribution with μ=1205.2 when α=0.05,which proves the stability of BP Neural Network timeliness alignment forecast is fine.Comparing to the actual figure,the deviation to the forecasted result of year 2005 is 0.75%,which convinces us that the results from applying BP Neural Network to forecast the economical technology targets in construction industry is reliable.
【CateGory Index】: F426.92;F224
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