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» Wafer-scale integration of analog neural networks
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GLVLSI
1998
IEEE
124views VLSI» more  GLVLSI 1998»
15 years 1 months ago
Non-Refreshing Analog Neural Storage Tailored for On-Chip Learning
In this research, we devised a new simple technique for statically holding analog weights, which does not require periodic refreshing. It further contains a mechanism to locally u...
Bassem A. Alhalabi, Qutaibah M. Malluhi, Rafic A. ...
70
Voted
IJCNN
2008
IEEE
15 years 3 months ago
Wafer-scale integration of analog neural networks
Abstract— This paper introduces a novel design of an artificial neural network tailored for wafer-scale integration. The presented VLSI implementation includes continuous-time a...
Johannes Schemmel, Johannes Fieres, Karlheinz Meie...
IJCNN
2000
IEEE
15 years 1 months ago
Analog Hardware Implementation of the Random Neural Network Model
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed circuit uses the general principles resulting from the u...
Hossam Abdelbaki, Erol Gelenbe, Said E. El-Khamy
73
Voted
ESANN
2004
14 years 11 months ago
BIOSEG: a bioinspired vlsi analog system for image segmentation
: The architecture of a complete image segmentation system and the development of an embedded VLSI low-power integrated circuit are reported. A neuromorphic engineering approach is...
Jordi Madrenas, Jordi Cosp, Lucas Oscar, Eduard Al...
78
Voted
GLVLSI
2005
IEEE
133views VLSI» more  GLVLSI 2005»
15 years 3 months ago
Generating decision regions in analog measurement spaces
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris