The tool CELL presented in this paper is a general purpose CNN simulator for Windows that supports all main kinds of CNN: with space variant and invariant template, single-layered and multi-layered, and with non linear-template. Its graphical user interface allows a full and user-friendly control of the CNN, a real-time monitoring and managing of its evolution, an easy editing of its templates, and the import/export of images in most known formats. Moreover, it provides a scripting functionality that includes all debugging features of most of the state-of-the-art Integrated Development Environments.
Salerno, M., Casali, D., Costantini, G., Carota, M. (2004). CELL: a new interactive tool for CNN algorithms implementation. In Proceedings of the 8th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA-2004.
CELL: a new interactive tool for CNN algorithms implementation
SALERNO, MARIO;COSTANTINI, GIOVANNI;
2004-01-01
Abstract
The tool CELL presented in this paper is a general purpose CNN simulator for Windows that supports all main kinds of CNN: with space variant and invariant template, single-layered and multi-layered, and with non linear-template. Its graphical user interface allows a full and user-friendly control of the CNN, a real-time monitoring and managing of its evolution, an easy editing of its templates, and the import/export of images in most known formats. Moreover, it provides a scripting functionality that includes all debugging features of most of the state-of-the-art Integrated Development Environments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
