Title :
Cellular neural network design using a learning algorithm
Author :
Zou, Fan ; Schwarz, Stephan ; Nossek, Josef
Author_Institution :
Inst. for Network Theory & Circuit Design, Tech. Univ. of Munich, Germany
Abstract :
A learning algorithm for cellular neural networks (CNN) is proposed. The cloning templates can be obtained by using this algorithm, which is based on the relaxation method for solving sets of linear inequalities. The symmetry of templates can be forced through additional equality constraints. Simulation examples show that some useful templates with the smallest neighborhood N1(i , j) are generated by the application of the training rule
Keywords :
learning systems; neural nets; relaxation theory; cellular neural networks; cloning templates; learning algorithm; linear inequalities; relaxation method; Algorithm design and analysis; Cellular neural networks; Circuit synthesis; Cloning; Equations; Image processing; Integrated circuit interconnections; Neural networks; Noise generators; Relaxation methods;
Conference_Titel :
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location :
Budapest
DOI :
10.1109/CNNA.1990.207509
