Title :
Realization of limit cycles by neural networks with piecewise linear activation function
Author :
Takahashi, Norikazu ; Yamakawa, Tsuyoshi ; Nishi, Tetsuo
Author_Institution :
Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
fDate :
28 Aug.-2 Sept. 2005
Abstract :
A simple method of realizing a prescribed limit cycle by means of a continuous-time recurrent neural network with the piecewise-linear activation function is proposed. Since the proposed method is formulated as a set of linear inequalities, we can easily determine parameters of the network by using, for example, the simplex method.
Keywords :
neural nets; piecewise linear techniques; continuous time recurrent neural network; limit cycles; linear inequalities; network parameters; piecewise linear activation function; Associative memory; Computer science; Design methodology; Electronic mail; Learning systems; Limit-cycles; Linear programming; Neural networks; Piecewise linear techniques; Recurrent neural networks;
Conference_Titel :
Circuit Theory and Design, 2005. Proceedings of the 2005 European Conference on
Print_ISBN :
0-7803-9066-0
DOI :
10.1109/ECCTD.2005.1523047