Massively parallel processing implementation of the toroidal neural networks

P. Palazzari, M. Coli, R. Rughi

Research output: Contribution to conferencePaper

Abstract

The parallel processing implementations of discrete time cellular neural networks (DT-CNN) that is the toroidal neural networks (TNN) were investigated. The development of learning algorithms and the implementation of TNN on APE100/quadrics massive parallel system were analyzed. Comparisons with the previous DT-CNN massive parallel systems were performed.
Original languageEnglish
Publication statusPublished - 2000
Externally publishedYes
EventProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - , Unknown
Duration: 1 Jan 2000 → …

Conference

ConferenceProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
CountryUnknown
Period1/1/00 → …

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All Science Journal Classification (ASJC) codes

  • Software

Cite this

Palazzari, P., Coli, M., & Rughi, R. (2000). Massively parallel processing implementation of the toroidal neural networks. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Unknown.