DocumentCode
2811175
Title
Structured analysis for neural networks using Petri nets
Author
Kadjinicolaou, M.G. ; Abdelrazik, M.B.E. ; Musgrave, G.
Author_Institution
Dept. of Electr. Eng. & Electron., Brunel Univ., Uxbridge, UK
fYear
1990
fDate
12-14 Aug 1990
Firstpage
770
Abstract
A neural Petri net model examining the dynamic and parallel activities of the neurons is presented. The structural and behavioral properties of the neuron can be studied in some detail using Petri nets. The advantage of this model over the ones in the current literature is that, it uses less parameters, hence it reduces the overall computation complexity of the model. Examples are given illustrating the way in which the neural Petri net can be employed to simulate the behavior of the neuron
Keywords
Petri nets; computational complexity; neural nets; Petri nets; computation complexity; dynamic properties; neural Petri net model; neural networks; neuron; parallel activities; simulation; structured analysis; Biological neural networks; Biological system modeling; Computational complexity; Integrated circuit technology; Nerve fibers; Neural networks; Neurons; Neurotransmitters; Petri nets; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location
Calgary, Alta.
Print_ISBN
0-7803-0081-5
Type
conf
DOI
10.1109/MWSCAS.1990.140834
Filename
140834
Link To Document