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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.