๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Methods of analysis of neural nets

โœ Scribed by E. R. Caianiello; W. E. L. Grimson


Publisher
Springer-Verlag
Year
1976
Tongue
English
Weight
374 KB
Volume
22
Category
Article
ISSN
0340-1200

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Stability analysis of neural net control
โœ Thomas Feuring; James J. Buckley; Wolfram-M. Lippe; Andreas Tenhagen ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 810 KB

Neural networks can only be trained with a crisp and finite data set. Therefore, the approximation quality of a trained network is hard to verify. So, a common way in proving stability of a trained neural net controller is to demonstrate the existence of a Lyapunov function. In this article we propo

Neural simulation of Petri nets
โœ S.W. Chen; C.Y. Fang; K.E. Chang ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 311 KB

Petri nets and neural networks share a number of analogies. Investigations of their relationships can be sorted into two categories: (a) the modeling of neural activities with Petri nets, and (b) the neural simulation of Petri nets. The work presented in this paper belongs to the second category. Un