DocumentCode
288369
Title
A neural network model with compensating inputs
Author
Sun, Baocheng ; Zhang, Zhifang
Author_Institution
Inst. of Autom., Acad. Sinica, Beijing, China
Volume
1
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
459
Abstract
In order to overcome the existing error in neural networks modeling, a neural network model with compensating inputs is proposed in this paper. Owing to compensation inputs introduced in the neural network, the proposed neural network model can practically realize neural network modeling with any accuracy and has very good adaptation to the new network inputs. It also has wide range of extensions to other neural network applications. Encouraging results have been obtained in the authors´ simulations
Keywords
compensation; feedforward neural nets; multilayer perceptrons; adaptation; compensating inputs; neural network model; Application software; Artificial neural networks; Automation; Computer errors; Feedforward neural networks; Information technology; Multi-layer neural network; Neural networks; Neurons; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374206
Filename
374206
Link To Document