Stochastic neural network
 |
This article does not cite any references or sources. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. (December 2009) |
Stochastic neural networks are a type of artificial neural networks, which is a tool of artificial intelligence. They are built by introducing random variations into the network, either by giving the network's neurons stochastic transfer functions, or by giving them stochastic weights. This makes them useful tools for optimization problems, since the random fluctuations help it escape from local minima.
Stochastic neural networks that are built by using stochastic transfer functions are often called Boltzmann machine.
Example: Applications in analytical trading tools, Neural Networks made up of specific trading instruments are used to "Predict" future price movements of one trading instrument such packaged in VantagePoint's Predicted Stochastic indicator.
 |
This artificial intelligence-related article is a stub. You can help Wikipedia by expanding it. |
