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The performance of machine learning may be expressed by the generalization error. The less generalization error is, the better the performance of machine learning and on the contrary, the worse. To further study characteristic of machine learning algorithm, the decomposition method of the generalization error for estimators is usually used. Wherein the bias-variance decomposition for quadratic error...
The traditional BSAO solution on independent component analysis (ICA) needs the ensemble a posteriori information averaging, but in reality, the probability distribution of a posteriori information is unknown, so the premise of equal probability is imprecise, and the geometrical information is discarded. Lagrange constraints neural network (LCNN) solution, which was based on a Lyapunov function------Helmholtz...
This paper proposes a novel method to identify the reactive power transfer between generators and load using modified nodal equations. Based on the solved load flow solution and the network parameters, the method partitioned the Y-bus matrix to decompose the current of the load buses as a function of the generator's current and voltage. These decomposed currents are then used independently to obtain...
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