2021 · 45 citations · 44 references
ComputingComputer ScienceData ScienceForecastingMachine LearningTime Series AnalysisDeep LearningForecasting MethodsTime Series AnalyticsTime Series ForecastingTime Series ModelingTime Series PredictionDeep Learning For ForecastingDeep Learning For Time Series ForecastingDeep Learning-based ForecastingMachine Learning Forecasting ModelsMachine Learning-based ForecastingNeural ForecastingNeural Network ModelingNeural Time Series Forecasting
The term time series refers to historical data comprise of observations that are made in a fixed time step, successively, over a period of time. This work focuses on the training and application of modern Machine Learning approaches, like Deep Neural Network techniques, to model and predict general time series obtained from several open databases. The selection of the data that were used in the experiments was focused on specific economic and social phenomena, intending to predict their evolution over time. The main and final goal remains the comparison of the aforementioned predicting approaches, as well as the optimization of them in order to improve their accuracy.
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Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations
Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text