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A wavelet neural network approach is proposed for ship control purpose using nonparametric regression estimation method. The proposed wavelet neural network estimator makes use of residual based selection algorithm for hidden units' selection and adjusts the connecting parameters with back propagation method. It is capable of handling nonlinear regressions of sparse training data. Ship course control...
We propose a general method to evaluate the material parameters for arbitrary shape transformation media. By solving the original coordinates in the transformed region via Laplacepsilas equations, we can obtain the deformation field numerically, in turn the material properties of the devices to be designed such as cloaks, rotators or concentrators with arbitrary shape. Devices which have non-fixed...
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