Forecasting time series by using deep neural networks

Forecasting time series by using deep neural networks

Forecasting and time series analysis plays a crucial role in many applications such as complex networks, demand forecasting, financial predictions, patient response to prescribed drugs, etc. In general, time series data behaves as a highly nonlinear process because of its stochastic nature; for inst...

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Détails bibliographiques
Auteur principal: Vega Arellano, Oscar Andrés (author)
Format: bachelorThesis
Langue:eng
Publié: 2021
Sujets:
Predicción de series de tiempo
Redes neuronales profundas (DNNs)
Perceptron multicapa (MLP)
Memoria de largo plazo (LSTM)
Redes neuronales convolucionales (CNN)
Ventana deslizante
Time series forecasting
Deep Neural Networks (DNNs)
Multilayer Perceptron (MLP)
Long Short-Term Memory (LSTM)
Convolutional Neural Network (CNN)
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Accès en ligne:http://repositorio.yachaytech.edu.ec/handle/123456789/430
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http://repositorio.yachaytech.edu.ec/handle/123456789/430

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