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» VLSI Implementation of Neural Networks
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NIPS
2007
13 years 9 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
PREMI
2005
Springer
14 years 1 months ago
Artificial Neural Network Engine: Parallel and Parameterized Architecture Implemented in FPGA
In this paper we present and analyze an artificial neural network hardware engine, its architecture and implementation. The engine was designed to solve performance problems of the...
Milene Barbosa Carvalho, Alexandre Marques Amaral,...
TNN
2010
121views Management» more  TNN 2010»
13 years 2 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
HYBRID
1997
Springer
13 years 11 months ago
Controller Scheduling Using Neural Networks: Implementation and Experimental Results
This paper presents the results of simulation and control experiments using a recently proposed method for real-time switching among a pool of controllers. The switching strategy ...
Enrique D. Ferreira, Bruce H. Krogh
ICPR
2002
IEEE
14 years 8 months ago
Self-Calibration and Neural Network Implementation of Photometric Stereo
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...