Highly Influential

@inproceedings{Beluco2017ModelingNC, title={Modeling NYSE Composite US 100 Index with a Hybrid SOM and MLP-BP Neural Model}, author={Adriano Beluco and Denise Lindstrom Bandeira and Alexandre Beluco}, year={2017} }

- Published 2017

Neural networks are well suited to predict future results of time series for various data types. This paper proposes a hybrid neural network model to describe the results of the database of the New York Stock Exchange (NYSE). This hybrid model brings together a self organizing map (SOM) with a multilayer perceptron with back propagation algorithm (MLP-BP… CONTINUE READING

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