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CISS
2008
IEEE
15 years 4 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»
15 years 1 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
14 years 11 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»
14 years 9 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
15 years 3 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, ...