Optimized Radial Basis Functional neural network for stock index prediction

@article{Mahanta2016OptimizedRB,
  title={Optimized Radial Basis Functional neural network for stock index prediction},
  author={Rakhi Mahanta and Trilok Nath Pandey and Alok Kumar Jagadev and Satchidananda Dehuri},
  journal={2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)},
  year={2016},
  pages={1252-1257}
}
Prediction of stock market indices is an interesting and challenging research problem in financial data mining area because movement of stock indices are nonlinear and they are dependent upon different constitutional and extraneous aspects. In this paper we come up with the practice of different techniques of Artificial Neural Network (ANN) in stock market prediction. Here we have selected Multilayer Perceptron model (MLP), Radial Basis Functional Network (RBFN) and an optimized Radial Basis… CONTINUE READING

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