%0 Journal Article
%T Forecasting Monsoon Precipitation Using Artificial Neural Networks
%A Xiaodan Wu
%A Cao Hongxing
%A Andrew Flitman
%A Wei Fengying
%A Feng Guolin
%A <br>Xiaodan Wu
%A Cao Hongxing
%A Andrew Flitman
%A Wei Fengying
%A Feng Guolin
%J 大气科学进展
%D 2001
%I 
%X This paper explores the application of Artificial Intelligent (AI) techniques for climate forecast. It pres- ents a study on modelling the monsoon precipitation forecast by means of Artificial Neural Networks (ANNs) Using the historical data of the total amount of summer rainfall over the Delta Area of Yangtze River in China, three ANNs models have been developed to forecast the monsoon precipitation in the corre- sponding atea one year. five-year, and ten-year forward respectively. Performances of the models have been validated using a 'new' data set that has not been exposed to the models during the processes of model development and test. The experiment results are promising, indicating that the proposed ANNs models have good quality in terms of the accuracy, stability and generalisation ability.
%K Forecasting
%K Monsoon precipitation
%K Artificial intelligent technique
%K Artificial neural networks<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=28A2F569B2458C17&jid=5434AFBF6CB6E7E8D67733B541F211C7&aid=DB2BD6BEB3E2793DF89D4440310FC3A6&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=94C357A881DFC066&sid=114891522AE71A91&eid=808D6B9EB5A8B4B4&journal_id=0256-1530&journal_name=大气科学进展&referenced_num=1&reference_num=0