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Welding distortion generated during assembly process has a strongly nonlinear feature, which includes material nonlinearity, geometric nonlinearity, and contact nonlinearity.
Nonlinear problems arise when the objective or constraints cannot be expressed as linear functions without sacrificing some essential nonlinear feature of the real world system.
The DAE retains speaker characteristics and suppresses the reverberation by nonlinear feature mapping.
Deep Learning nonlinear feature extraction can improve data mining results and classification modeling [55].
(varepsilon ll 1) is a small parameter used to measure the magnitude of nonlinear feature.
The blue, green and yellow points represent the nonlinear feature in the input space.
The nonlinear feature and the complex internal dynamics makes the design of the control challenging.
Such processes are essentially highly nonlinear, feature complex interactions and are difficult to analyse.
Furthermore, the proposed technique can extract the nonlinear feature without heavy computation load.
finally, Kernel KSVD constructs a curvilinear coordinate for target decomposition that goes along the flow of nonlinear feature points.
A new nonlinear feature selection and fusion method, named kernel factor analysis, is proposed to mitigate the aforementioned challenge.
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