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ICNC
2005
Springer
14 years 1 months ago
Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture
This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (...
Lean Yu, Kin Keung Lai, Shouyang Wang
PACT
2005
Springer
14 years 1 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
NN
2004
Springer
14 years 1 months ago
Perceptive, Non-linear Speech Processing and Spiking Neural Networks
Jean Rouat, Ramin Pichevar, Stéphane Loisel...
MCS
2006
Springer
13 years 8 months ago
Variable projections neural network training
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
V. Pereyra, G. Scherer, F. Wong
TNN
2008
108views more  TNN 2008»
13 years 8 months ago
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints
This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. Under the condition that the Hessian matrix of the ass...
Youshen Xia, Gang Feng, Jun Wang