Application of BP Neural Network in Monitoring of Ocean Tide Level
Accurate monitor and prediction of tide levels under severe weather, such as typhoons, is very important for human activities in oceanic and coastal areas. When predicting tide levels, non astronomical components may play a same critical role as that of astronomical components. The traditional prediction methods and models based on the analysis of astronomical components do not work well in these situations. The objective of this paper is to apply BP neutral network method to monitor and predict ocean tide level under the influence of a typhoon in consideration of non astronomical components. With five year tide records under the influence of typhoons at Luchaogang China, the proposed BP model is verified to be highly accurate and acceptable to monitor and predict ocean tide level with a typhoon effect, and the results reveal that the BP neural network method can provide a solid basis for tidal level prediction and typhoon disaster reduction.
2015 International Conference on Computational Intelligence and Communication Networks (CICN)