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Results show that all three methods produce NNs capable of zero validation error using a nearest integer error criterion.
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Both methods produce sound of equal quality.
Both methods produce similar lists of targets.
This method produces an even, smooth paste.
In this study we use the fine beam dual (FBD) polarization PALSAR 50 m mosaic imagery and a Neural Network (NN) method to produce a land cover map in Hainan Island, China.
Negative correlation learning (NCL) and mixture of experts (ME), two popular combining methods, each employ different special error functions for the simultaneous training of NNs to produce negatively correlated NNs.
His methods, however, produced results.
FaceBook has three methods of producing revenue.
His method soon produced surprising results.
Compared with many other methods, such as NNs, SVR has obvious dominance.
Compared with similarity searching, k-NN and PNN methods, COMBI-SVM produced comparable dual inhibitor yields, similar target selectivity, and lower false hit rate in screening 168,000 MDDR compounds.
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