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Model regularization is critical for improving the generalization of a learning machine to new data [7].
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Also, another method for improving the generalization of an ANN model is ensemble ANNs method which is to avoid overfitting and to make sure the generalization of an ANN model [ 44, 45].
In particular, the shared weights are supportive for improving the generalization of CNNs, because they reduce the number of parameters of CNNs.
The development of this extended LGEM can provide some useful guidelines for improving the generalization ability of SLFNs trained with ELM.
However, this has the effect of improving the generalization of the estimate.
This study would improve the generalization of the results for sites of different themes and in different platforms.
Bayesian regularization was used to improve the generalization of the MLP network.
For years, researchers in neural network (NN) area have been carried out much productive research in improving the generalization ability of NNs.
An alternative to the second stage strategy for batch learning is presented and focuses on improving the generalization performance.
The use of more complete descriptors such as Daylight and Dragon for drugs and other amino acid sequence properties for proteins (Shen et al., 2007) may improve the generalization properties of the method.
For the optimization module, a particle swarm optimization algorithm is proposed to improve the generalization performance of the recognizer.
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