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PACT
2005
Springer
13 years 10 months ago
Parallel Implementation of Back-Propagation Neural Network Software on SMP Computers
Abstract. Experiments of neural network training procedure parallelization are conducted. Several styles of parallelization are described and compared, estimations of neural networ...
Victor G. Tsaregorodtsev
ENGL
2008
98views more  ENGL 2008»
13 years 4 months ago
A New Wavelet Back Propagation Neural Networks for Structural Dynamic Analysis
dynamic analysis of structures for earthquake induced loads is very expensive in terms of the computational burden. In this study, to reduce the computational effort a new neural s...
R. Kamyab Moghadas, S. Gholizadeh
AINA
2010
IEEE
13 years 1 months ago
Neural Network Trainer through Computer Networks
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
Nam Pham, Hao Yu, Bogdan M. Wilamowski
PROCEDIA
2010
105views more  PROCEDIA 2010»
13 years 3 months ago
Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI
The use of tuned collective’s module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron...
Volodymyr Turchenko, Lucio Grandinetti, George Bos...
IEEEPACT
1998
IEEE
13 years 9 months ago
Sirocco: Cost-Effective Fine-Grain Distributed Shared Memory
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programming interface with minimal or no hardware support. Originally software FGDSMs tar...
Ioannis Schoinas, Babak Falsafi, Mark D. Hill, Jam...