Modeling NYSE Composite US 100 Index with a Hybrid SOM and MLP-BP Neural Model

@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}
}
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