Intelligent Data Pre-processing Model in Integrated Ocean Observing Network System

摘要

There are a number of dirty data in observation data set derived from integrated ocean observing network system.Thus,the data must be carefully and reasonably processed before they are used for forecasting or analysis.This paper proposes a data pre-processing model based on intelligent algorithms.Firstly,we introduce the integrated network platform of ocean observation.Next,the pre-processing model of data is presented,and an intelligent cleaning model of data is proposed.Based on fuzzy clustering,the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering.The proposed dynamic algorithm can automatically find the new clustering center with the updated sample data.The rapid and dynamic performance of the model makes it suitable for real time calculation,and the efficiency and accuracy of the model is proved by test results through observation data analysis.