Concepedia

Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting

Pu-Yun Kow, Yi-Shin Wang, Yanlai Zhou, I-Feng Kao, Maikel Issermann, Li‐Chiu Chang, Fi‐John Chang

Journal of Cleaner Production · 2020 · 97 citations · 68 references

Open access

Concepts

ComputingMeteorologyForecastingMachine LearningWeather ForecastingDeep LearningForecast VerificationReal-time ForecastingRegional ForecastingTime Series ForecastingTime Series PredictionConvolutional Forecasting ModelsDeep Learning For ForecastingDeep Learning For Time Series ForecastingHybrid Forecasting ModelsMulti-step-ahead ForecastingNeural ForecastingNeural Time Series Forecasting

References

68

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

Computing, Computer Science, Computer Vision +12

Classification and Regression by randomForest

Andy Liaw, Matthew C. Wiener · 2007 · 18.4K citations

Computing, Computer Science, Data Mining +16

Deep Sparse Rectifier Neural Networks

Xavier Glorot, Antoine Bordes, Yoshua Bengio · 2012 · 5.4K citations

Computing, Computer Science, Machine Learning +8

Random decision forests

Tin Kam Ho · 2002 · 5K citations

Computing, Computer Science, Machine Learning +16

The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

Sepp Hochreiter · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 1998 · 2.9K citations

Computing, Computer Science, Forecasting +10