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For: Ravansalar M, Rajaee T. Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model. Environ Monit Assess 2015;187:366. [PMID: 25990827 DOI: 10.1007/s10661-015-4590-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Accepted: 05/05/2015] [Indexed: 06/04/2023]
Number Cited by Other Article(s)
1
Ahmadianfar I, Shirvani-Hosseini S, Samadi-Koucheksaraee A, Yaseen ZM. Surface water sodium (Na+) concentration prediction using hybrid weighted exponential regression model with gradient-based optimization. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022;29:53456-53481. [PMID: 35287188 DOI: 10.1007/s11356-022-19300-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 02/15/2022] [Indexed: 06/14/2023]
2
Ahmadianfar I, Shirvani-Hosseini S, He J, Samadi-Koucheksaraee A, Yaseen ZM. An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction. Sci Rep 2022;12:4934. [PMID: 35322087 PMCID: PMC8943002 DOI: 10.1038/s41598-022-08875-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 03/14/2022] [Indexed: 11/09/2022]  Open
3
Superiority of Hybrid Soft Computing Models in Daily Suspended Sediment Estimation in Highly Dynamic Rivers. SUSTAINABILITY 2021. [DOI: 10.3390/su13020542] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
4
River Water Salinity Prediction Using Hybrid Machine Learning Models. WATER 2020. [DOI: 10.3390/w12102951] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
5
A Review of the Artificial Neural Network Models for Water Quality Prediction. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10175776] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
6
Ahmadianfar I, Jamei M, Chu X. A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water. JOURNAL OF CONTAMINANT HYDROLOGY 2020;232:103641. [PMID: 32408076 DOI: 10.1016/j.jconhyd.2020.103641] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 03/27/2020] [Accepted: 04/16/2020] [Indexed: 06/11/2023]
7
Groundwater Estimation from Major Physical Hydrology Components Using Artificial Neural Networks and Deep Learning. WATER 2019. [DOI: 10.3390/w12010005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
8
Faradonbeh RS, Hasanipanah M, Amnieh HB, Armaghani DJ, Monjezi M. Development of GP and GEP models to estimate an environmental issue induced by blasting operation. ENVIRONMENTAL MONITORING AND ASSESSMENT 2018;190:351. [PMID: 29785545 DOI: 10.1007/s10661-018-6719-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 05/11/2018] [Indexed: 06/08/2023]
9
Barzegar R, Asghari Moghaddam A. Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction. ACTA ACUST UNITED AC 2016. [DOI: 10.1007/s40808-015-0072-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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