๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Neural decoding based on probabilistic neural network

โœ Scribed by Yi Yu; Shao-min Zhang; Huai-jian Zhang; Xiao-chun Liu; Qiao-sheng Zhang; Xiao-xiang Zheng; Jian-hua Dai


Book ID
111842767
Publisher
SP Zhejiang University Press
Year
2010
Tongue
English
Weight
628 KB
Volume
11
Category
Article
ISSN
1673-1581

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Probabilistic neural networks
โœ Donald F. Specht ๐Ÿ“‚ Article ๐Ÿ“… 1990 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 863 KB

By replacing the sigmoid activation function often used in neural networks with an exponential function, a probabilistic neural network (PNN) that can compute nonlinear decision boundaries which approach the Bayes optimal is formed. Alternate activation functions having similar properties are also d

Implementing probabilistic Neural Networ
โœ Fabio Ancona; Anna Maria Colla; Stefano Rovetta; Rodolfo Zunino ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Springer-Verlag ๐ŸŒ English โš– 808 KB
Probabilistic reasoning and probabilisti
โœ Gerhard Pass ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 642 KB

The Boltzmann machine is a probabilistic neural network describing the associative dependency of variables. It yields a probability distribution, which is a special case of the distribution generated by probabilistic inference networks. Hence both types of networks can be combined allowing to integr