Soft Soil Foundation Settlement Prediction and Economic Cost Management Analysis based on New Algorithm
Shun Yong Zhou, Xiaoguang Yue · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2015
In order to predict the soft soil foundation settlement and analyze economic cost management, the basic concepts of soil foundation settlement are discussed.A new prediction algorithm is proposed.The new prediction algorithm principles of numerical prediction are described based on the basic concept of contrary degree and Opposite Degree.Firstly, the relevant data is selected from engineering example; then, according to the contrary degree algorithm, the test set and prediction set are calculated based on Opposite Degree computation; finally, in order to evaluation experimental results, the prediction results compared with BP neural network algorithm and Opposite Degree algorithm.The results show that, Opposite Degree computation algorithm is an effective method for settlement prediction of soft soil foundation.At last, we analyzed the economic cost in soft soil foundation and put forward some management suggestions.