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CISS
2008
IEEE
14 years 2 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
AICCSA
2007
IEEE
127views Hardware» more  AICCSA 2007»
13 years 11 months ago
Diesel Engine Indicated Torque Estimation Based on Artificial Neural Networks
Abstract-- This paper presents an artificial neural networks approach to estimate the indicated torque of a single-cylinder diesel engine from crank shaft angular position and velo...
Yahya H. Zweiri, Lakmal D. Seneviratne
NIPS
2008
13 years 9 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
IJCES
2002
100views more  IJCES 2002»
13 years 7 months ago
Neural Network Decoders for Linear Block Codes
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
Ja-Ling Wu, Yuen-Hsien Tseng, Yuh-Ming Huang
ICANN
2005
Springer
14 years 1 months ago
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor
Abstract. A real-time, large scale, leaky-integrate-and-fire neural network processor realized using FPGA is presented. This has been designed, as part of a collaborative project,...
Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, ...