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ERSA
2006
91views Hardware» more  ERSA 2006»
14 years 11 months ago
Intrinsic Embedded Hardware Evolution of Block-based Neural Networks
- An intrinsic embedded online evolution system has been designed using Block-based neural networks and implemented on Xilinx VirtexIIPro FPGAs. The designed network can dynamicall...
Saumil Merchant, Gregory D. Peterson, Seong Kong
IJON
1998
82views more  IJON 1998»
14 years 9 months ago
Solving arithmetic problems using feed-forward neural networks
We design new feed-forward multi-layered neural networks which perform di erent elementary arithmetic operations, such as bit shifting, addition of N p-bit numbers, and multiplica...
Leonardo Franco, Sergio A. Cannas
IJCNN
2000
IEEE
15 years 2 months ago
Sensor Errors Prediction Using Neural Networks
The features of neural networks using for increasing of an accuracy of physical quantity measurement are considered by prediction of sensor drift. The technique of data volume incr...
Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turc...
DATE
2003
IEEE
114views Hardware» more  DATE 2003»
15 years 3 months ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli
NIPS
2000
14 years 11 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...