期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Comparison of Different Ann Approaches in Daily Pan Evaporation Prediction
1
作者 yildirim dalkilic Umut Okkan Nesrin Baykan 《Journal of Water Resource and Protection》 2014年第4期319-326,共8页
Nowadays, one of the most important effects on water resources under climate change is increasing of free water surface evaporation which depends on the increasing of temperature. In basins, where there are no observe... Nowadays, one of the most important effects on water resources under climate change is increasing of free water surface evaporation which depends on the increasing of temperature. In basins, where there are no observed data, free water surface evaporation is taken into account depending on historical temperature and similar data and their long-term statistics. Predicting of real value of evaporation contains some uncertainties. The modeling of evaporation with a small number of predictors has crucial importance on the regions and basins where measurements are not sufficient and/or not exist. In this presented study, daily evaporation prediction models were prepared by using empirical Penman equation, Levenberg-Marquardt algorithm based on 'Feed Forward Back Propagation Artificial Neural Networks (LMANN)', radial basis neural networks (RBNN), generalized regression neural networks (GRNN). When the models were compared, it was noticed that the results of neural network models are statistically more meaningful than the Penman equation. 展开更多
关键词 Daily Evaporation Pan Evaporation Evaporation Prediction Penman LMANN RBNN GRNN
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部