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Long-Term Groundwater-Level Forecasting in Shallow and Deep Wells Using Wavelet Neural Networks Trained by an Improved Harmony Search Algorithm
Long-Term Groundwater-Level Forecasting in Shallow and Deep Wells Using Wavelet Neural Networks Trained by an Improved Harmony Search Algorithm
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Long-Term Groundwater-Level Forecasting in Shallow and Deep Wells Using Wavelet Neural Networks Trained by an Improved Harmony Search Algorithm

Rakhshandehroo, Gholamreza ; Akbari, Hassan ; Afshari Igder, Mosayeb ; Ostadzadeh, Ershad

Journal of hydrologic engineering, 2018-02, Vol.23 (2) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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2
Short term load forecasting using wavelet augmented non-linear autoregressive neural networks: A single customer level perspective
Short term load forecasting using wavelet augmented non-linear autoregressive neural networks: A single customer level perspective
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Short term load forecasting using wavelet augmented non-linear autoregressive neural networks: A single customer level perspective

Netsanet, Solomon ; Zhang, Jianhua ; Zheng, Dehua

2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 2018, p.407-411

IEEE

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3
Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia
Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia
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Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia

Ansari, Mozafar ; Othman, Faridah ; Abunama, Taher ; El-Shafie, Ahmed

Environmental science and pollution research international, 2018-04, Vol.25 (12), p.12139-12149 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Manage Sewer In-Line Storage Control Using Hydraulic Model and Recurrent Neural Network
Manage Sewer In-Line Storage Control Using Hydraulic Model and Recurrent Neural Network
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Manage Sewer In-Line Storage Control Using Hydraulic Model and Recurrent Neural Network

Zhang, Duo ; Martinez, Nicolas ; Lindholm, Geir ; Ratnaweera, Harsha

Water resources management, 2018-04, Vol.32 (6), p.2079-2098 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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5
Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran
Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran
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Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran

Fereidoon, Majid ; Koch, Manfred

Water (Basel), 2018-07, Vol.10 (7), p.964 [Periódico revisado por pares]

Basel: MDPI AG

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6
Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models
Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models
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Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models

Chang, Li-Chiu ; Amin, Mohd ; Yang, Shun-Nien ; Chang, Fi-John

Water (Basel), 2018-09, Vol.10 (9), p.1283 [Periódico revisado por pares]

Basel: MDPI AG

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7
Short-term prediction of groundwater level using improved random forest regression with a combination of random features
Short-term prediction of groundwater level using improved random forest regression with a combination of random features
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Short-term prediction of groundwater level using improved random forest regression with a combination of random features

Wang, Xuanhui ; Liu, Tailian ; Zheng, Xilai ; Peng, Hui ; Xin, Jia ; Zhang, Bo

Applied water science, 2018-09, Vol.8 (5), p.1-12, Article 125 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Flood Prediction Using Machine Learning Models: Literature Review
Flood Prediction Using Machine Learning Models: Literature Review
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Flood Prediction Using Machine Learning Models: Literature Review

Mosavi, Amir ; Ozturk, Pinar ; Chau, Kwok-wing

Water (Basel), 2018-10, Vol.10 (11), p.1536 [Periódico revisado por pares]

Basel: MDPI AG

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9
Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting
Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting
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Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting

Tian, Ye ; Xu, Yue-Ping ; Yang, Zongliang ; Wang, Guoqing ; Zhu, Qian

Water (Basel), 2018-11, Vol.10 (11), p.1655 [Periódico revisado por pares]

Basel: MDPI AG

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10
Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network
Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network
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Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network

Du, Zhenhong ; Qin, Mengjiao ; Zhang, Feng ; Liu, Renyi

Knowledge-based systems, 2018-11, Vol.160, p.61-70 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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