Application Research Of Artificial Neural Networks In Time Series Forecasting

Time Series Forecasting is an important aspect of dynamic data analysis and processing. There exists the demand of forecasting the future based upon historical data in the applications of science, economics and engineering. There are many actual applications in this research field.Time Series Forecasting is a researching scope involving multiple subjects. Based on the basic theories of Artificial Neural Networks (ANN) and Time Series Prediction, this paper introduces ANN to solve the problems of Time Series Prediction. This paper makes a deeply research in theories, methods and models aiming at the present problems. In this paper, the basic concept and different models of Time Series Prediction is briefly introduced, the means of Time Series Prediction based on ANN is analyzed, the Time Series Prediction model is built based on ANN, the neural network problems such as scale and popularization capability and so on are researched. Two concrete time series are predicted, in which, the model is utilized., the results are very much ideal, and illustrates the Time Series Forecasting model based on neural networks has very good capability of forecasting and popularization, and verified that the Time Series Forecasting model based on neural networks has validity and universal suitable qualityPredecessors' research fruit is summed up in this paper, and proposes the concept and the opinion of writer self aimed at the defect, and throwing them into the practice, and does one's best to supply valid measure for the time series forecasting of our country's business based on the historical data, and making hard in the interest of spreading the artificial neural network technique.