The multipletraining concept first appliedto Bidirectional Associative Memory trainingis appliedto the back-propagation (BP) algorithm for use in associative memories. This new algorithm. which assigns different weights to the various pairsin the energyfunction, is calledmultiple training back-propa
โฆ LIBER โฆ
LEARNING MONOTONIC-CONCAVE INTERVAL CONCEPTS USING THE BACK-PROPAGATION NEURAL NETWORKS
โ Scribed by Shouhong Wang
- Book ID
- 110983951
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 767 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0824-7935
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Multiple training concept for back-propa
โ
Yeou-Fang Wang; Jose B. Cruz Jr.; J.H. Mulligan Jr.
๐
Article
๐
1993
๐
Elsevier Science
๐
English
โ 517 KB
Back-propagation learning in improving t
โ
Rob Law
๐
Article
๐
2000
๐
Elsevier Science
๐
English
โ 184 KB
Traditional tourism demand forecasting techniques concentrate predominantly on multivariate regression models and univariate time-series models. These single mathematical function-based forecasting techniques, although they have achieved a certain degree of success in tourism forecasting, are unable
Application of the Back Propagation Neur
โ
Norman P. Archer; Shouhong Wang
๐
Article
๐
1993
๐
Decision Sciences Institute, Georgia State Univers
๐
English
โ 827 KB
Controlling the chaotic response to a pr
โ
Weiyang Qin; Yongfeng Yang; Jinfu Zhang
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 794 KB
A Back-propagation Neural Network Landmi
โ
Taskin Kocak; Matthew Draper
๐
Article
๐
2006
๐
Springer US
๐
English
โ 94 KB
Function of identified interneurons in t
โ
Lockery, Shawn R.; Wittenberg, George; Kristan, William B.; Cottrell, Garrison W
๐
Article
๐
1989
๐
Nature Publishing Group
๐
English
โ 560 KB