Acerca deste livro eletrónico
Adaptive Analog VLSI Neural Systems is the first practical book on neural networks learning chips and systems. It covers the entire process of implementing neural networks in VLSI chips, beginning with the crucial issues of learning algorithms in an analog framework and limited precision effects, and giving actual case studies of working systems.
The approach is systems and applications oriented throughout, demonstrating the attractiveness of such an approach for applications such as adaptive pattern recognition and optical character recognition.
Dr Jabri and his co-authors from AT&T Bell Laboratories, Bellcore and the University of Sydney provide a comprehensive introduction to VLSI neural networks suitable for research and development staff and advanced students.
The approach is systems and applications oriented throughout, demonstrating the attractiveness of such an approach for applications such as adaptive pattern recognition and optical character recognition.
Dr Jabri and his co-authors from AT&T Bell Laboratories, Bellcore and the University of Sydney provide a comprehensive introduction to VLSI neural networks suitable for research and development staff and advanced students.
Classificações e críticas
5,0
1 crítica
4GU14 DOR4D4
- Denunciar como impróprio
17 de fevereiro de 2019
top livro recomendo
Acerca do autor
Marwan Jabri is a Reader, Richard Coggins is a Research Engineer and Barry Flower is a Research Fellow at SEDAL, Sydney University Electrical Engineering, Australia.
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