Evaluating Different Functions of Artificial Neural Networks for Predicting the Hourly Variations of Horizontal Visibility under Dry and Humid Conditions (Case Study: Zabol City)
دریافت مدرک
FullText
اندازه فایل:
731.5کیلوبایتنوع فايل (MIME):
PDFنوع مدرک
TextOriginal Article
زبان مدرک
Englishچکیده
The present research was conducted to compare different functions of two artificial neural networks (ANNs) including the multilayer perceptron (MLP) and radial basis function (RBF) in order to forecast the Horizontal Visibility (HV
کلید واژگان
climatic parametersShort-term prediction
Evaluating Model Accuracy
intelligent systems
arid region
شماره نشریه
1تاریخ نشر
2019-08-011398-05-10
ناشر
University of Kashanسازمان پدید آورنده
Assistant Professor, Faculty of Natural Resources, University of Jiroft , Kerman,IranPh.D. In watershed Management Engineering, University of Hormozgan
