Algorithms, applications and hardware implementations of neural networks are not investigated in close connection. Researchers working in the development of dedicated hardware implementations de- velop simplied versions of otherwise complex neural algorithms or de- velop dedicated algorithms: usually these algorithms have not been thor- oughly tested on real-world applications. At the same time, many theo- retically sound algorithms are not feasible in dedicated hardware, there- fore limiting their success only to applications where a software solution on a general-purpose system is feasible. The paper focuses on the is- sues related to the hardware implementation of neural algorithms and architectures and their successful application to real world-problems.

European Symposium on Artificial Neural Networks 2001

ANGUITA, DAVIDE;VALLE, MAURIZIO
2001-01-01

Abstract

Algorithms, applications and hardware implementations of neural networks are not investigated in close connection. Researchers working in the development of dedicated hardware implementations de- velop simplied versions of otherwise complex neural algorithms or de- velop dedicated algorithms: usually these algorithms have not been thor- oughly tested on real-world applications. At the same time, many theo- retically sound algorithms are not feasible in dedicated hardware, there- fore limiting their success only to applications where a software solution on a general-purpose system is feasible. The paper focuses on the is- sues related to the hardware implementation of neural algorithms and architectures and their successful application to real world-problems.
2001
2-930307-01-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/848293
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