Estimation of Artificial Neural Networks Accuracy in Anticipation of the Dust of the Sabzevar Cement Factory

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Keykhosravi Seyed Saeed; NEJADKOORKI FARHAD; Amintoosi Mahmood

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Title

Estimation of Artificial Neural Networks Accuracy in Anticipation of the Dust of the Sabzevar Cement Factory

Author(s)

Keykhosravi Seyed Saeed | NEJADKOORKI FARHAD | Amintoosi Mahmood | Issue Writer Certificate

Keywords

Cement FactoryQ2

DustQ2

Artificial Neural NetworksQ1

Air PollutionQ1

Abstract

Background and Objective: Dust modeling can be regarded as an appropriate tool for predicting future inDustrial Dust and identifying pollutant emission control strategies. Perceptron (MLP) and radial base (RBF) neural networks were used as a means for predicting the outflow Dust from the main cogeneration of Sabzevar Cement Factory located in Khorasan Razavi Province. Materials and Methods: The concentration of the Dust emitted from the main cement chimney in the study area was sampled and measured. Then, the parameters of the production line (temperature, output gas speed, voltage, fuel, raw materials, and time of sampling) were used as input data to the neural networks to predict the concentration of Dust. The values obtained from the implementation of the models were compared with the results of field measurements as a superior model selection. Results: The analysis of figures and statistical parameters showed that the mean squared errors for the two MLP and RBF models were as much as 1. 787 and 21. 263, respectively, and the correlation coefficients were as much as 0. 99693 and 0. 95811, respectively, which indicate a lower error and greater correlation at the MLP rather than RBF model in predicting the concentration of Dust. Conclusion: Because of the high ability of perceptron neural networks to predict Dust concentration, this model can be a convenient and fast solution to predict the amount of Dust in the inDustry.

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APA: Copy

Keykhosravi, Seyed Saeed, NEJADKOORKI, FARHAD, & Amintoosi, Mahmood. (2019). Estimation of Artificial Neural Networks Accuracy in Anticipation of the Dust of the Sabzevar Cement Factory. JOURNAL OF RESEARCH IN ENVIRONMENTAL HEALTH, 5(1 ), 43-52. SID. https://sid.ir/paper/357832/en

Vancouver: Copy

Keykhosravi Seyed Saeed, NEJADKOORKI FARHAD, Amintoosi Mahmood. Estimation of Artificial Neural Networks Accuracy in Anticipation of the Dust of the Sabzevar Cement Factory. JOURNAL OF RESEARCH IN ENVIRONMENTAL HEALTH[Internet]. 2019;5(1 ):43-52. Available from: https://sid.ir/paper/357832/en

IEEE: Copy

Seyed Saeed Keykhosravi, FARHAD NEJADKOORKI, and Mahmood Amintoosi, “Estimation of Artificial Neural Networks Accuracy in Anticipation of the Dust of the Sabzevar Cement Factory,” JOURNAL OF RESEARCH IN ENVIRONMENTAL HEALTH, vol. 5, no. 1 , pp. 43–52, 2019, [Online]. Available: https://sid.ir/paper/357832/en

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