Earth Structure Modeling Using Neural Network

신경회로망을 이용한 대지구조 모델링

Earth parameters are essential to design and analysis of earth. Because of ambiguities of soil, it is not easy to calculate earth parameters, such as, resistivities and depth of each layer. The traditional mathematical method for earth parameters has a problems deciding initial value to obtain optimal solution. Also, it needs to a lot of time to be calculated to obtain reasonable solution. This paper presents new approach to estimate earth parameters using neural networks. Validity of proposed method is verified by case studies.