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《第37届中国控制会议论文集(B)》2018年
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A New Wavelet Neural Network with Boundary Value Constraints

Lu Han  Shurong Li  Yulei Ge  
【摘要】:A new wavelet neural network(WNN) with boundary value constraints(BVC) is proposed in this paper. The network has a novel topology, which is able to satisfy a series of BVC automatically. The difference of the proposed network with conventional WNN is that the proposed BVC-WNN considers not only the prior knowledge, but also the observation data. Here the prior knowledge means the BVC. The orthogonal least squares algorithm(OLS) is applied to identify the BVC-WNN. And the ability of satisfying BVC is discussed in this paper. By comparing the simulation result for a numerical example using BVC-WNN and conventional WNN, the experimental result proves that the BVC-WNN has better accuracy.

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