Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach

2017 ◽  
Author(s):  
Chao Zhang ◽  
Junchi Yan ◽  
Yunting Li ◽  
Feng Sun ◽  
Jinghai Yan ◽  
...  
Keyword(s):  
Air Pollution ◽  
Ensemble Learning ◽  
Learning Approach ◽  
Air Pollution Forecasting

Air pollution forecasting based on attention‐based LSTM neural network and ensemble learning

2019 ◽  
Vol 37 (3) ◽  
Author(s):  
Duen‐Ren Liu ◽  
Shin‐Jye Lee ◽  
Yang Huang ◽  
Chien‐Ju Chiu
Keyword(s):  
Neural Network ◽  
Air Pollution ◽  
Ensemble Learning ◽  
Air Pollution Forecasting

An ensemble learning based hybrid model and framework for air pollution forecasting

2020 ◽  
Vol 27 (30) ◽  
pp. 38155-38168
Author(s):  
Yue-Shan Chang ◽  
Satheesh Abimannan ◽  
Hsin-Ta Chiao ◽  
Chi-Yeh Lin ◽  
Yo-Ping Huang
Keyword(s):  
Air Pollution ◽  
Ensemble Learning ◽  
Hybrid Model ◽  
Air Pollution Forecasting

Ensemble Learning Approach with LASSO for Predicting Catalytic Reaction Rates

Synlett ◽  
2020 ◽  
Author(s):  
Akira Yada ◽  
Kazuhiko Sato ◽  
Tarojiro Matsumura ◽  
Yasunobu Ando ◽  
Kenji Nagata ◽  
...  
Keyword(s):  
Ensemble Learning ◽  
Reaction Rates ◽  
Initial Reaction Rate ◽  
Training Dataset ◽  
Initial Reaction ◽  
Learning Approach ◽  
Learning Framework ◽  
Machine Learning Approach ◽  
Reasonable Prediction ◽  
Epoxidation Of Alkenes

AbstractThe prediction of the initial reaction rate in the tungsten-catalyzed epoxidation of alkenes by using a machine learning approach is demonstrated. The ensemble learning framework used in this study consists of random sampling with replacement from the training dataset, the construction of several predictive models (weak learners), and the combination of their outputs. This approach enables us to obtain a reasonable prediction model that avoids the problem of overfitting, even when analyzing a small dataset.

scholarly journals Development of an ANN–based air pollution forecasting system with explicit knowledge through sensitivity analysis

2014 ◽  
Vol 5 (4) ◽  
pp. 696-708 ◽  
Author(s):  
Madhavi Anushka Elangasinghe ◽  
Naresh Singhal ◽  
Kim N. Dirks ◽  
Jennifer A. Salmond
Keyword(s):  
Air Pollution ◽  
Sensitivity Analysis ◽  
Explicit Knowledge ◽  
Forecasting System ◽  
Air Pollution Forecasting
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