๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Approximate Match of Rules Using Backpropagation Neural Networks

โœ Scribed by Boonserm Kijsirikul; Sukree Sinthupinyo; Kongsak Chongkasemwongse

Book ID
110296277
Publisher
Springer
Year
2001
Tongue
English
Weight
143 KB
Volume
44
Category
Article
ISSN
0885-6125

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Ocean wave parameters estimation using b
Ocean wave parameters estimation using backpropagation neural networks
โœ S. Mandal; Subba Rao; D.H. Raju ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 545 KB

In the present study, various ocean wave parameters are estimated from theoretical Pierson-Moskowitz spectra as well as measured ocean wave spectra using backpropagation neural networks (BNN). Ocean wave parameters estimation by BNN shows that the correlations are very close to one. This substantiat

Theory of the backpropagation neural net
Theory of the backpropagation neural network
โœ Robert Hecht-Nielsen ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 61 KB

Of all the neural networks being applied to real world problems, the backpropagation neural network has proven to be the most useful. The Backpropagation network seems to have been originally invented by Paul Werbos in his 1974 Harvard Ph.D. dissertation, and subsequently reinvented in 1982 by David