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» Wafer-scale integration of analog neural networks
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GLVLSI
1998
IEEE
124views VLSI» more  GLVLSI 1998»
13 years 9 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. ...
IJCNN
2008
IEEE
13 years 11 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
13 years 9 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
ESANN
2004
13 years 6 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...
GLVLSI
2005
IEEE
133views VLSI» more  GLVLSI 2005»
13 years 10 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