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ESANN
2006
13 years 9 months ago
Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
Abstract. Current digital, directly mapped implementations of spiking neural networks use serial processing and parallel arithmetic. On a standard CPU, this might be the good choic...
Benjamin Schrauwen, Jan M. Van Campenhout
IJCNN
2000
IEEE
14 years 2 days ago
On MCMC Sampling in Bayesian MLP Neural Networks
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Aki Vehtari, Simo Särkkä, Jouko Lampinen
ESANN
2008
13 years 9 months ago
Neural network hardware architecture for pattern recognition in the HESS2 project
In this paper, we consider the problem of implementation of neural network in the context of the level 2 trigger of HESS2 project. We propose a hardware architecture which which ta...
Narayanan Ramanan, Sonia Khatchadourian, Jean-Chri...
FLAIRS
1998
13 years 9 months ago
Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis
This paper describes the methodology of developing multiversion systems using neural networks in the hope of improving their performance and reliability. However, a system impleme...
Wenjia Wang, Derek Partridge, Sarah Rae
ISNN
2005
Springer
14 years 1 months ago
A SIMD Neural Network Processor for Image Processing
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...