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It has been proved that there is a bias-variance-covariance trade-off among the trained neural network ensembles. In this paper, extra learning on random data points was proposed to control the variations of the correlations in the negative correlation learning (NCL). Without the control of the correlations, NCL might have arbitrary values on the unknown data points after learning too much on the...
In view of the defects in model of thermocouple characteristic using BP neural network (BPNN), such as lower precision, varying output, instability (after repeated training, the output may be queer), a model of thermocouple characteristic based on Generalized Regression Neural Network (GRNN) is established. The paper gives the process of model building for Ni-Cr Constantan thermocouple characteristic...
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