๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Optimization of an artificial neural network for thermal/pressure food processing: Evaluation of training algorithms

โœ Scribed by J.S. Torrecilla; L. Otero; P.D. Sanz


Book ID
113551227
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
307 KB
Volume
56
Category
Article
ISSN
0168-1699

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Evaluation of nonlinear optimization met
โœ Hideyuki Takagi; Shigeo Sakaue; Hayato Togawa ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 980 KB

## Abstract This paper describes the implementation of nonlinear optimization methods into the learning of neural networks (NN) and the speed efficiency of four proposed improvements into the backpropagation algorithm. The problems of the backpropagation learning method are pointed out first, and t

An evaluation of back-propagation neural
โœ Li Zhang; Ganesh Subbarayan ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 195 KB

Design optimization using approximations based on feed-forward back-propagation neural network is the topic of much recent research. The neural network schemes that have been proposed in the literature for optimal design of structural systems differ in their architecture and training procedures. Fur