Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran

Maryam Khodadadi; Alireza Mesdaghinia; Simin Nasseri; Mohammad Taghi Ghaneian; Mohammad Hassan Ehrampoush; Mahdi Hadi

Journal ArticleOPEN ACCESS

Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran

Khodadadi M
Mesdaghinia A
Nasseri S
et al.

Environmental Health Engineering and Management (2016) 3(2) 81-89

DOI: 10.15171/ehem.2016.05

N/ACitations

14Readers

Abstract

… (WWTP) or constructed wetlands performances through NN for … such as WSPs and constructed wetlands (CWs) which have been … treatment plant using time series analysis and artificial …

Cite

CITATION STYLE

APA

Khodadadi, M., Mesdaghinia, A., Nasseri, S., Ghaneian, M. T., Ehrampoush, M. H., & Hadi, M. (2016). Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran. Environmental Health Engineering and Management, 3(2), 81–89. https://doi.org/10.15171/ehem.2016.05

Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran

Abstract

Cite

Register to see more suggestions