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RBF neural network and its application in power harmonic measurement applied research

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Tutor: ChenChang
School: Dalian University of Technology
Course: Control Theory and Engineering
Keywords: RBF network,Harmonic,Measure,BP Network
CLC: TP183
Type: Master's thesis
Year:  2000
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Abstract:
In this paper, based on artificial neural network harmonic measurement method using a parallel harmonic measurement devices simulate the basic principle to construct a radial basis function neural network (RBFNN), given the network training algorithms, procedures, and threshold parameters selection principle . And according to the power system harmonics main features , analysis and research training sample method of forming a multi-input multi-output network structure, and application of back-propagation algorithm (BP) trained network were compared. Simulation results show the feasibility and effectiveness of this approach .
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