2006 · 12 citations · 12 references
ComputingComputer ScienceForecastingMachine LearningOptimizationBayesian InferenceBayesian ModelingBayesian StatisticsNetwork OptimizationNetwork StructureNeural NetworksBackpropagationBayesian NetworksBayesian Neural NetworksMultilayer NetworksMultilayer PerceptronNeural Network ModelingNeural Network Prediction
Abstract:- A novel algorithm obtained by using Bayesian information criterion (BIC) is presented to systematically choose the optimal multilayer network structure, via the number of hidden layers and hidden nodes of each layer, of backpropagation (BP) networks. Simulation results with daily data on stock prices in the Thai market show that the algorithm performs satisfactorily. Moreover, the proposed algorithm is also compared to Daqi-Shouyi method.
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Multilayer feedforward networks are universal approximators
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., WhiteH. · Neural Networks · 1989 · 9.4K citations
Time Series Analysis, Forecasting, and Control
Technometrics · 1995 · 3.6K citations
Computing, Data Science, Forecasting +11