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Refinado por: Nome da Publicação: Iop Conference Series: Earth And Environmental Science remover assunto: Vorhersagemodell remover
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Prediction model of dissolved oxygen in ponds based on ELM neural network
Prediction model of dissolved oxygen in ponds based on ELM neural network
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Prediction model of dissolved oxygen in ponds based on ELM neural network

Li, Xinfei ; Ai, Jiaoyan ; Lin, Chunhuan ; Guan, Haibin

IOP conference series. Earth and environmental science, 2018-02, Vol.121 (2), p.22003 [Periódico revisado por pares]

Bristol: IOP Publishing

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2
Evaluating predictive models for solar energy growth in the US states and identifying the key drivers
Evaluating predictive models for solar energy growth in the US states and identifying the key drivers
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Evaluating predictive models for solar energy growth in the US states and identifying the key drivers

Chakraborty, Joheen ; Banerji, Sugata

IOP conference series. Earth and environmental science, 2018-03, Vol.127 (1), p.12002 [Periódico revisado por pares]

Bristol: IOP Publishing

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3
Cross-city PM2.5 predictions with recurrent neural network
Cross-city PM2.5 predictions with recurrent neural network
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Cross-city PM2.5 predictions with recurrent neural network

Zong, RH ; Zhang, TY ; Chen, Z ; Zhu, Y

IOP conference series. Earth and environmental science, 2019-06, Vol.291 (1), p.12002 [Periódico revisado por pares]

Bristol: IOP Publishing

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4
Improving forecasting accuracy of daily energy consumption of office building using time series analysis based on wavelet transform decomposition
Improving forecasting accuracy of daily energy consumption of office building using time series analysis based on wavelet transform decomposition
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Improving forecasting accuracy of daily energy consumption of office building using time series analysis based on wavelet transform decomposition

Fang, Chengkuan ; Gao, Yuan ; Ruan, Yingjun

IOP conference series. Earth and environmental science, 2019-07, Vol.294 (1), p.12031 [Periódico revisado por pares]

Bristol: IOP Publishing

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5
A Reinforcement-Algorithm Framework for Automatic Model Selection
A Reinforcement-Algorithm Framework for Automatic Model Selection
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A Reinforcement-Algorithm Framework for Automatic Model Selection

Shang, Diya ; Sun, Hua ; Zeng, Qingliang

IOP conference series. Earth and environmental science, 2020-02, Vol.440 (2), p.22060 [Periódico revisado por pares]

Bristol: IOP Publishing

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6
An Energy Consumption Prediction LSTM Model of Metallurgy Enterprises
An Energy Consumption Prediction LSTM Model of Metallurgy Enterprises
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An Energy Consumption Prediction LSTM Model of Metallurgy Enterprises

Wang, Xueying ; Yu, Zhuchao ; Xi, Pengfei ; Chu, Gaixia ; Lai, Shiyang ; Li, Jing ; Zhang, Yuanzheng

IOP conference series. Earth and environmental science, 2020-04, Vol.495 (1), p.12014 [Periódico revisado por pares]

Bristol: IOP Publishing

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7
Flood Forecasting using Committee Machine with Intelligent Systems: a Framework for Advanced Machine Learning Approach
Flood Forecasting using Committee Machine with Intelligent Systems: a Framework for Advanced Machine Learning Approach
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Flood Forecasting using Committee Machine with Intelligent Systems: a Framework for Advanced Machine Learning Approach

Faruq, Amrul ; Abdullah, Shahrum Shah ; Marto, Aminaton ; Che Razali, Che Munira ; Mohd Hussein, Shamsul Faisal

IOP conference series. Earth and environmental science, 2020-06, Vol.479 (1), p.12039 [Periódico revisado por pares]

Bristol: IOP Publishing

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8
Research on Gaussian Plume Model of Gas Diffusion in Coal Mine Roadway Based on BP Neural Network Optimized by Genetic Algorithm
Research on Gaussian Plume Model of Gas Diffusion in Coal Mine Roadway Based on BP Neural Network Optimized by Genetic Algorithm
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Research on Gaussian Plume Model of Gas Diffusion in Coal Mine Roadway Based on BP Neural Network Optimized by Genetic Algorithm

Nie, Zhen ; Ma, Hongwei ; Zhang, Yishu

IOP conference series. Earth and environmental science, 2020-06, Vol.526 (1), p.12158 [Periódico revisado por pares]

Bristol: IOP Publishing

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9
An Artificial intelligence approach for predicting compressive strength of eco-friendly concrete containing waste tire rubber
An Artificial intelligence approach for predicting compressive strength of eco-friendly concrete containing waste tire rubber
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An Artificial intelligence approach for predicting compressive strength of eco-friendly concrete containing waste tire rubber

Dat, L T M ; Dmitrieva, T L ; Duong, V N ; Canh, D T N

IOP conference series. Earth and environmental science, 2020-12, Vol.612 (1), p.12029 [Periódico revisado por pares]

Bristol: IOP Publishing

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10
Forecasting the short-term urban gas daily demand in winter based on the XGBoost algorithm
Forecasting the short-term urban gas daily demand in winter based on the XGBoost algorithm
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Forecasting the short-term urban gas daily demand in winter based on the XGBoost algorithm

Duan, Yanzhi ; Li, Sensheng ; Chen, Shuiyin ; Tan, Qi ; Chen, Can ; Wang, Menghao

IOP conference series. Earth and environmental science, 2021-02, Vol.675 (1), p.12150 [Periódico revisado por pares]

Bristol: IOP Publishing

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