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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Bibliografiska uppgifter
Huvudupphovsman:	Vega Arellano, Oscar Andrés (author)
Materialtyp:	bachelorThesis
Språk:	eng
Publicerad:	2021
Ämnen:	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) Sliding window
Länkar:	http://repositorio.yachaytech.edu.ec/handle/123456789/430
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Forecasting time series by using deep neural networks

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