Accuracy Improvement of Ground Strength Estimation Method Using Neural Network

Abstract

In this paper, we propose estimation methods of the N-value, which is an index for measuring the ground strength. The proposed methods use multi-layered neural networks. In order to overcome the strong nonlinearities of N-value distribution for mountainous area, two types of new ideas are proposed. The one is to use an additional new feature value produced by using the geology type. The other is to use only learning data within a specific range, which is determined by using the proposed algorithm. The numerical simulation demonstrates the effectiveness of the proposed methods.