Select the Most Suitable Inputs to the Artificial Neural Network Model by Using the ACO Algorithm

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ZEINALI MOHAMMAD JAVAD; SHAHIDI ALI

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: IRANIAN JOURNAL OF ECOHYDROLOGY Year:2018 | Volume:5 | Issue:1 Page(s): 59-68

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Title

Select the Most Suitable Inputs to the Artificial Neural Network Model by Using the ACO Algorithm

Author(s)

ZEINALI MOHAMMAD JAVAD | SHAHIDI ALI | Issue Writer Certificate

Keywords

Artificial Neural NetworkQ2

Ant colony AlgorithmQ2

Gadarchay RiverQ2

Input Variable SelectionQ2

Abstract

the performance criteria have used in this study is including mean square error (MSE), sum square error (SSE), Nash_Sutcliffe and correlation coefficient. The result indicated the best ANNa model is ANNa2 with MSE equal 0. 0017. Inputs in this model are Total Cation, Total Hardness and Calcium. The best ANNb model is ANNb3 with MSE equal 0. 0012. Inputs in this model are Sodium adsorption ratio, pH, Total Hardness and Calcium. Also, the results indicated that using ACO algorithm for finding the best input parameters had increased neural network performance, in ANNb models than ANNa for validation network and for test network we see with increases inputs the performance of network increases. According to results we can say that against try and error for finding the best inputs, we can use the parameter that those had a high correlation between target parameter as first step. But parameters that have high correlation between target parameter, necessarily don't the best inputs. But the parameter that those had a high correlation between target parameter as inputs of neural network. Also, we find that the ACO algorithm can be used as a method of Input Variable Selection and that improved the performance of neural network.

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APA: Copy

ZEINALI, MOHAMMAD JAVAD, & SHAHIDI, ALI. (2018). Select the Most Suitable Inputs to the Artificial Neural Network Model by Using the ACO Algorithm. IRANIAN JOURNAL OF ECOHYDROLOGY, 5(1 ), 59-68. SID. https://sid.ir/paper/253981/en

Vancouver: Copy

ZEINALI MOHAMMAD JAVAD, SHAHIDI ALI. Select the Most Suitable Inputs to the Artificial Neural Network Model by Using the ACO Algorithm. IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2018;5(1 ):59-68. Available from: https://sid.ir/paper/253981/en

IEEE: Copy

MOHAMMAD JAVAD ZEINALI, and ALI SHAHIDI, “Select the Most Suitable Inputs to the Artificial Neural Network Model by Using the ACO Algorithm,” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 5, no. 1 , pp. 59–68, 2018, [Online]. Available: https://sid.ir/paper/253981/en

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