Abstract
This paper is especially written for a special session devoted to piecewise linear (PWL) circuits and systems to be presented in ISCAS 2003. We focus on applications of PWL functions to cellular neural/nonlinear networks (CNN). Much of the CNN functionality relies on the design of the nonlinear differential equation that rules the behavior of the cell. Accordingly, in this paper we present some of the latest developments in PWL CNN cell design. We describe and compare two novel architectures developed recently, namely, the multinested CNN and the simplicial CNN (S-CNN).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
