๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Optimum block-adaptive learning algorithm for error back-propagation networks

โœ Scribed by Li-Min Du; Zi-Qiang Hou; Qi-Hu Li


Book ID
119789460
Publisher
IEEE
Year
1992
Tongue
English
Weight
859 KB
Volume
40
Category
Article
ISSN
1053-587X

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


An adaptive training algorithm for back
โœ L.-W. Chan; F. Fallside ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 628 KB

The effect of the coefficients used in the conventional back propagation algorithm on training connectionist models is discussed, using a vowel recognition task in speech processing as an example. Some weaknesses of the use of fixed coefficients are described and an adaptive algorithm using variable

Acceleration by prediction for error bac
โœ Arihiro Kanda; Satoshi Fujita; Tadashi Ae ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 687 KB

## Abstract This paper proposes a speed improvement of the error back propagation algorithm, which is employed widely in the multilayered neural network, by introducing the prediction. The idea is to realize a larger acceleration by introducing the differential factor for the moment terms in the er

[International Series in Operations Rese
โœ Yu, Lean; Wang, Shouyang; Lai, Kin Keung ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Springer US ๐ŸŒ English โš– 387 KB

This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research de