SCNN 2000 - Part I: Basic structure and features of the simulation system for cellular neural networks
Research output: Contribution to conferences › Paper › Contributed › peer-review
Contributors
Abstract
In this paper the basic structure and features of SCNN 2000, a universal simulation system for Cellular Neural Networks (CNN) is presented. Since the first presentation of SCNN the structure of the simulation system has been changed to achieve more flexibility in simulating CNN. Especially, a wider class of training algorithms including new optimization methods have been implemented. SCNN 2000 also supports several kinds of CNN hardware as mathematical coprocessors. Additionally, a new SCNN control system has been developed, including a new graphical user interface and an integrated SCNN shell to allow a more convenient working with SCNN 2000. In this part of the contribution the basic structure and features of SCNN 2000 will be discussed, whereas the SCNN control system is presented in a second paper.
Details
Original language | English |
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Pages | 123-128 |
Number of pages | 6 |
Publication status | Published - 2000 |
Peer-reviewed | Yes |
Externally published | Yes |
Conference
Title | Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) |
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Duration | 23 - 25 May 2000 |
City | Catania, Italy |
External IDs
ORCID | /0000-0001-7436-0103/work/142240260 |
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