Feedback Neural Networks

2000 ◽  
pp. 137-175
Author(s):  
Xiang-Sun Zhang
Keyword(s):  
Neural Networks ◽  
Feedback Neural Networks

Applying Neural Networks for Modeling of Financial Assets

2018 ◽  
pp. 172-204
Author(s):  
Dmitry Averchenko ◽  
Artem Aldyrev
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Standard Deviation ◽  
Learning Process ◽  
Moving Average ◽  
Back Propagation ◽  
Financial Assets ◽  
Movement Index ◽  
Analytical System ◽  
Feedback Neural Networks

The purpose of this chapter is to develop an analytical system for forecasting prices of financial assets with the use of artificial neural networks technology. Proposed by the authors, the analytical system consists of several neural networks, each of which makes the forecast of financial assets prices. The system includes recurrence (with feedback) neural networks with sigmoidal activation formula. This allows the networks to “remember” a sequence of reactions to the same stimulus. The learning process of neural networks is performed using an algorithm of back propagation of error. The key parameters of forecast for this analytical system are the indicators presented by the terminal MetaTrader 4-broker Forex Club: Average Directional и Movement Index; Bollinger Bands; Envelopes; Ichimoku Kinko Hyo; Moving Average; Parabolic SAR; Standard Deviation; Average True Range; and others.

Feedback neural networks for ARTIST ionogram processing

Radio Science ◽  
1996 ◽  
Vol 31 (5) ◽  
pp. 1119-1128 ◽  
Author(s):  
Ivan A. Galkin ◽  
Bodo W. Reinisch ◽  
Gennadii A. Ososkov ◽  
Elena G. Zaznobina ◽  
Steven P. Neshyba
Keyword(s):  
Neural Networks ◽  
Feedback Neural Networks
Sign in / Sign up

Export Citation Format

Share Document