DocumentCode
323368
Title
An inverse-deviation threshold approach in neural network controllers
Author
Bo, Li ; Yuhui, Li ; Tiangui, Zhang
Author_Institution
Dept. of Comput. Sci., Kunming Univ. of Sci. & Technol., China
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
407
Abstract
An approach of inverse-deviation threshold is presented. The approach introduces an inverse-deviation function into the output neuron threshold in neural network controllers. The threshold can be dynamically changed by inverse-deviation function to adjust time-and-space accumulation effect of signals in neural network and improve neural network learning condition. This approach is advantageous to high speed response of neural network control systems
Keywords
learning (artificial intelligence); neurocontrollers; high speed response; inverse-deviation function; inverse-deviation threshold approach; neural network control systems; neural network controllers; neural network learning condition; output neuron threshold; time-and-space accumulation effect; Chemicals; Control systems; Error correction; Feedforward neural networks; Intelligent networks; Natural gas; Neural networks; Neurons; Nonlinear control systems; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672811
Filename
672811
Link To Document