articleTop 1% cited
Time series forecasting using a deep belief network with restricted Boltzmann machines
Neurocomputing · 2014 · Vol. 137 · pp. 47–56
Takashi Kuremoto✉(Yamaguchi University)Shinsuke Kimura(Yamaguchi University)Kunikazu Kobayashi(Aichi Prefectural University)Masanao Obayashi(Yamaguchi University)
Neural Networks and ApplicationsStock Market Forecasting MethodsEnergy Load and Power ForecastingBoltzmann machineDeep belief networkComputer scienceArtificial neural networkArtificial intelligencePerceptronRestricted Boltzmann machineInitializationParticle swarm optimizationSeries (stratigraphy)
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References
Learning representations by back-propagating errors
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Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Neural Computation · 2008 · 831 citations
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
Time series forecasting using a hybrid ARIMA and neural network model
Neurocomputing · 2003 · 4,235 citations
A Fast Learning Algorithm for Deep Belief Nets
Neural Computation · 2006 · 16,253 citations
Deterministic Nonperiodic Flow
Journal of the Atmospheric Sciences · 1963 · 19,069 citations
Time Series Analysis: Forecasting and Control
Journal of Marketing Research · 1977 · 19,299 citations
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