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An ensemble of Elman networks (EEN) is formed by bagging to enhance the performance of the individual networks. The combined density functional theory (DFT) with EEN correction approach has been applied to evaluate the electronic excitation energies of organic molecules. The EEN approach improved DFT calculation results and reduced the RMS deviations from 0.48 to 0.23 eV for the training set. For...
The neural network ensemble approach (NNE) is proposed for improving the generalization ability of neural networks and to reduce the calculation errors of density functional theory (DFT). The simple averaging approach (NNEA) and weighted averaging approach (NNEW) for combining the predictions of component neural networks we adopted respectively. As a demonstration, this combined DFT and NNE correction...
Recent years, people pay more and more attention to multi-modal biometric recognition because of its higher security. In this paper, face and palmprint are fused in feature level and a novel user-specific weighting rule is used to adapt different people's need and improve recognition accuracy. According to respective characteristic of face and palmprint, different feature extraction methods are adopted...
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