DocumentCode :
324530
Title :
The mathematical models of neuron and neural network in autonomous adaptive control methodology
Author :
Zhdanov, Alexander A.
Author_Institution :
Dept. of Simulation Syst., Acad. of Sci., Moscow, Russia
Volume :
2
fYear :
1998
fDate :
4-9 May 1998
Firstpage :
1042
Abstract :
We present the neural interpretation of our autonomous adaptive control (AAC) method. The AAC control system is a simulation of the natural brain function. We propose our model of a neuron and give an example of the way in which the neurons are connected together in networks to realize all functions of the autonomous adaptive control system
Keywords :
adaptive control; brain models; neural nets; neurocontrollers; autonomous adaptive control methodology; natural brain function; neural network; neuron; Adaptive control; Counting circuits; Intelligent networks; Mathematical model; Neural networks; Neurons; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
ISSN :
1098-7576
Print_ISBN :
0-7803-4859-1
Type :
conf
DOI :
10.1109/IJCNN.1998.685915
Filename :
685915
Link To Document :
بازگشت