NOVEL FAST TRAINING ALGORITHM FOR MULTILAYER FEEDFORWARD NEURAL NETWORK

Cited 9 time in webofscience Cited 0 time in scopus
  • Hit : 367
  • Download : 0
A new fast learning algorithm for a multilayer feedforward neural network is presented. The new algorithm, based on an innovative variable step size and gradient averaging, has excellent properties to overcome major drawbacks of the backpropagation algorithm and shows high convergence speed. The improved performance of the new algorithm in comparison with other algorithms is verified via computer simulations.
Publisher
IEE-INST ELEC ENG
Issue Date
1992-03
Language
English
Article Type
Article
Citation

ELECTRONICS LETTERS, v.28, no.6, pp.543 - 545

ISSN
0013-5194
URI
http://hdl.handle.net/10203/66032
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 9 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0