Comparison of Recurrent Neural Network, Adaptive Neuro-Fuzzy Inference System and Stochastic Models in Eğirdir Lake Level Forecasting

Author： Güldal Veysel

Publisher： Springer Publishing Company

ISSN： 0920-4741

Source： Water Resources Management, Vol.24, Iss.1, 2010-01, pp. : 105-128

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)

By Hipni Afiq

Water Resources Management, Vol. 27, Iss. 10, 2013-08 ,pp. : 3803-3823

Springer Publishing Company

Access to resources Recommend Favorite

Comparative analysis of performance of neural network and neuro-fuzzy model in prediction of groundwater table fluctuation

By Maiti P.R.

International Journal of Hydrology Science and Technology, Vol. 2, Iss. 3, 2012-09 ,pp. : 252-269

Inderscience Publishers

Access to resources Recommend Favorite

A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam

By El-Shafie Ahmed Taha Mahmoud Noureldin Aboelmagd

Water Resources Management, Vol. 21, Iss. 3, 2007-03 ,pp. : 533-556

Springer Publishing Company

Access to resources Recommend Favorite

Forecasting Surface Water Level Fluctuations of Lake Van by Artificial Neural Networks

By Altunkaynak Abdüsselam

Water Resources Management, Vol. 21, Iss. 2, 2007-02 ,pp. : 399-408

Springer Publishing Company

Access to resources Recommend Favorite

Groundwater Level Forecasting in a Shallow Aquifer Using Artificial Neural Network Approach

By Nayak Purna Rao Y. Sudheer K.

Water Resources Management, Vol. 20, Iss. 1, 2006-02 ,pp. : 77-90

Springer Publishing Company

Access to resources Recommend Favorite