Advanced Neural Network Training Methods for Low False Alarm Stock Trend Prediction Emad W. Saad, Danil V. Prokhorov ... network architectures for stock market forecasting are the time-delay neural network and the recurrent neural network. ... for the training of the above networks, i.e. conjugate gradient algorithm and multi-stream extended Kalman filter. ... Neural networks (NN) are used in this application for their ability to model complex nonlinear systems based on sample data.
Title | : | The 1996 IEEE International Conference on Neural Networks, June 3-6, 1996, Sheraton Washington Hotel, Washington, DC, USA.: Proceedings |
Author | : | IEEE Neural Networks Council, Institute of Electrical and Electronics Engineers |
Publisher | : | - 1996 |
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