Land suitability evaluation based on artificial neural network
Yaolin Liu, Molenaar Martin, Yanfang Liu, Limin Jiao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
Artifical Neural Networks (ANN) has many good qualities comparing with ordinary methods in Land Suitability Evaluation. Based on analysis of ordinary methods' limitations,s ome sticking points of BP model of ANN used in land evaluation are discussed in detail, such as network structure, learning algorithm, etc. The land evaluation of Qionghai city is used as a case study, we know that ANN always can give more reasonable evaluation results from test.