The Pilot Study on Prediction Method by Artificial Neural Network for Carrying Capacity of Coastal Zone

With the development of the ocean economy exploitation, study on carrying capacity and its dynamic changes are the key methods for all-sided and correct understanding of the relationship between human being and ocean, for scientific management or utilization of ocean resources and realization of ocean sustainable development. This paper presents a Data-Driven Model (DDM) to establish carrying capacity of coastal zone (CCCZ) prediction model solved by artificial neural network. (ANN). The calibration results work well in Liaoning marine zone.