Application of neural networks in forecasting engine systems reliability. Applied Soft Computing 2, 255-268.Xu K,Xie M,Tang L C,et al.Application of Neural Net-works in Forecasting Engine Systems Reliability. Ap-plied Soft Computing . 2003...
Since the stock price is affected by many factors, we should consider it in different aspects when we forecast. The Artificial Neural Network (ANN) has the characters of adaptiveness, parallel process etc., which applied well in forecast. When using ANN for forecasting, the selection of the ...
optimal design of high strength fly ash concrete.Furthermore,w e contrast them to the linear regression and the results suggest that neural net work approach have merit of high forecasting accuracy,so it'll have broad pros pect of application in performance forecast and optimal design of concrete...
A BP neural network based load forecasting model of natural gas is presented, and in this model all the factors that influence the natural gas load change are taken into account. Levenberg Marquardt arithmetic is adopted, and computer simulation is accomplished with Visual C++ and Matlab. The mod...
The forecast system based on the neural network is initially set up and the applied example is put forward in the light of the problem of weather forecast. 关键词: artificial neural network back propagation algorithm weather forecast 被引量: 12 年份: 2001 ...
And the application of ANN in prediction of wheat, rice, cotton and other plant diseases and pests was summarized. On this base, we looked into the future of the application of ANN in forecasting of plant diseases and pests. 展开 关键词: Artificial neural network (ANN Wheat Crop diseases ...
artificial neural networksrainfallforecastIn this study,the application of artificial intelligence to monthly and seasonal rainfall forecasting in Queensland,Australia,was assessed by inputting recognized climate indices,monthly historical rainfall data,and atmospheric temperatures into a prototype stand-alone,...
The aim of the work presented in this article is to make sales forecasting as accurate as possible through the use of BP artificial neural network. Firstly, this article introduces the basic principles of BP artificial neural network, and constructs a sales forecasting model based on the theory ...
The authors would like to acknowledge the support of the US Army Corps of Engineers' Pittsburgh District. The Civil Works Cold Regions Engineering Research Program Work Units “River Ice Forecasting” and “Statistical Methods in Ice Engineering” also supplied funding.References...
Artificial Neural Network (ANN ) is applied for forecasting of dam spillage using a 10 year hydrological dataset of Ahning Dam in the northern Malaysia at the Pedu-Muda area. During the rainy season, the Ahning Dam will overflow due to h... A Talib,Y. Hasan 被引量: 3发表: 2010年 ...