Neural Network Prediction With The Soft Soil Subsidence In The Application

With the rapid progress of china's economy, the expressway has developed very quickly as a member of basic construction in our country. With a rate of about 2000km/y, the total mileage of the built expressway has been up to more than 41000km by the end of 2005. However, there are much silt, silt clay, and silt-and-sand bed in the highway grounds of many provinces or managed improvement, the quality of roads will fall even destroy. So it has become a very important task to strengthen the research on the improvement of expressway soft ground.There are many decision problems in the study of expressway's ground improvement. Owing to various influential factors, a great deal of calculation and imperfect design theory, experience always plays an important part in the technical decision of ground improvement. Therefore, how to make the technical decision of ground improvement more scientific and practicability becomes very important.Based on project practice of expressway ground improvement in recent years, and theoretically based on artificial neural net and MATLAB-ANN, and combined with the latest developments of geo-technique and soil mechanics, it studies the problem of expressway ground improvement decision, and take more stress on discussing the application of ANN in expressway soft ground, explores helpfully scientificalization of decision of expressway soft ground improvement. According to the research contents and sequences of chapters and sections, this abstract introduces concisely as follows:1. It expresses briefly the purpose and significance of the article, and introduces comprehensively present research situation, existing problems and research prospect of ground improvement, systemic analysis of decision problems of expressway ground improvement. Then it puts forward research subject and chief contents of this paper.2. Artificial neural net is used in deal with expressway soft ground. This paper expresses briefly the theory of BP net and MATLAB-ANN, set up model to make decision on the expressway soft ground by BP net, and improve the BP model.3. Key factor is found out by systemic analyzing the influential factors of ground improvement, and decision models of two parameters and five parameters are set up. By collecting practical data and making experiments on ANN models, the result proves that ANN decision models are valid.