Information Technology and Quantitative Management ( ITQM 2015 ) Time Series Prediction using Restricted Boltzmann Machines and Backpropagation

By Rafael Hraskoa, André G. C. Pachecoa, Renato A. Krohlinga. 2015

Subfields: Probabilistic & Bayesian Methods, Time-Series & Forecasting

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Probabilistic & Bayesian Methods

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

In Time-Series & Forecasting

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Weiwei Jiang
5. Longbing Cao

Citations in the corpus

• Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “In stacked RBM learning, iterative CD algorithm is used [66].”
• Deep belief network based electricity load forecasting: An analysis of Macedonian case (2016, unknown): “[29] and [30].”