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In existing adaptive neural control approaches, only when the regressor satisfies the persistent excitation (PE) or interval excitation (IE) conditions, the constant optimal weights of neural network (NN) can be identified, which can be used to establish uncertainties in nonlinear systems. This paper proposes a novel composite learning approach based on adaptive neural control. The focus of this approach...
Cytochrome P450 (CYP) is an important drug‐metabolizing enzyme family. Different CYPs often have different substrate preferences. In addition, one drug molecule may be preferentially metabolized by one or more CYP enzymes. Therefore, the classification and prediction of substrate specificity of CYP enzymes are of importance to the understanding of drug metabolisms and may help guide the development...
Detection and reliability of remanufacturing automatic transmission is an important step in the remanufacturing process, the article draws attention to the vibration detection system based on BP neural network. By means of extracting the time-domain characteristic data which are taken as inputs for neural network training, a new detection of remanufacturing is realized. Based on an example of the...
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