DocumentCode :
3109388
Title :
Comparison of different numerical integration methods for simulating cellular neural networks
Author :
Harrer, Hubert ; Schuler, Andreas ; Amelunxen, Elmar
Author_Institution :
Inst. for Network Theory & Circuit Design, Tech. Univ. of Munich, Germany
fYear :
1990
fDate :
16-19 Dec 1990
Firstpage :
151
Lastpage :
159
Abstract :
Three popular single step algorithms for solving the system of nonlinear differential equations of cellular neural networks are compared. The typical behaviour of these algorithms is described, example simulations are given and their relative advantages and disadvantages are discussed
Keywords :
differential equations; integration; neural nets; numerical methods; cellular neural networks; neural net simulation; nonlinear differential equations; numerical integration; Cellular neural networks; Circuit simulation; Circuit synthesis; Computational modeling; Computer networks; Computer simulation; Differential equations; Image processing; Pattern recognition; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/CNNA.1990.207519
Filename :
207519
Link To Document :
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