Prediction of Heavy Metals Concentration in the Groundwater Resources in Razan Plain: Extreme Learning Machine vs. Artificial Neural Network and Multivariate Adaptive Regression Spline | Zendy

Meysam Alizamir | Zendy; Soheil Sobhanardakani | Zendy; Amin Hasanalipour Shahrabadi | Zendy

Open Access

Prediction of Heavy Metals Concentration in the Groundwater Resources in Razan Plain: Extreme Learning Machine vs. Artificial Neural Network and Multivariate Adaptive Regression Spline

Author(s) -

Meysam Alizamir,

Soheil Sobhanardakani,

Amin Hasanalipour Shahrabadi

Publication year - 2019

Publication title -

annals of military and health sciences research

Language(s) - English

Resource type - Journals

eISSN - 2383-1979

pISSN - 2383-1960

DOI - 10.5812/amh.98554

Subject(s) - multivariate adaptive regression splines , artificial neural network , multivariate statistics , groundwater , extreme learning machine , groundwater resources , regression , spline (mechanical) , machine learning , bayesian multivariate linear regression , artificial intelligence , environmental science , computer science , regression analysis , statistics , mathematics , geology , engineering , aquifer , geotechnical engineering , structural engineering

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