[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 4, Issue 12 (10-2010) ::
jwmseir 2010, 4(12): 61-64 Back to browse issues page
Determination of the Best Output Layer Activation Function in Neural Network for Forecasting Peak Discharge
Maryam Khosravi * , Ali Salajegheh , Mohammad Mahdavi , Mohsen Mohseni Saravi
Abstract:   (22273 Views)

One of the methods to forecast peak discharge among black box method is artificial neural network.

Lack of emphatic regulation to architect network is one of disadvantages in neural networks. There is not

a suitable criterion to determine number of layer and number of neuron in hidden layer, type of activation

function for hidden and output layers and assay and error method is the only solution. In this research,

numbers of suitable neurons in this layer and activation function type in output layer for two sub basin,

Gatehdeh and Gelinak, situated in Taleghan basin were investigated by perception neural network with

three layers and preservation of type of activation function for hidden layer. 20 percentage data for testing

stage, 65 percentage data for training stage and 15 percentage data for validation stage were entered in

MATLAB software and sigmoid and linear activation functions with the most application in hydrologic

subjects were selected for output layer. Linear function with less RMSE in both stations recognized suitable

and the numbers of adequate neurons in Gatehdeh and Gelinak stations were five and six neurons,

respectively.

Keywords: Neural Network, peak Discharge, Taleghan, Activation Function, Hidden layer
Full-Text [PDF 279 kb]   (2926 Downloads)    
Type of Study: Research | Subject: Special
Received: 2013/03/12 | Published: 2010/10/15
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khosravi M, Salajegheh A, mahdavi M, Mohseni Saravi M. Determination of the Best Output Layer Activation Function in Neural Network for Forecasting Peak Discharge. jwmseir 2010; 4 (12) :61-64
URL: http://jwmsei.ir/article-1-158-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 12 (10-2010) Back to browse issues page
مجله علوم ومهندسی آبخیزداری ایران Iranian Journal of Watershed Management Science and Engineering
Persian site map - English site map - Created in 0.07 seconds with 37 queries by YEKTAWEB 4645