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