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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922451
Abstract: A common way to solve the problem of how to obtain the optimal experimental conditions and the experimental results based on limited experimental data is that use of the traditional genetic algorithm optimization BP neural…
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Keywords:
optimization;
extreme value;
algorithm;
nonlinear function ... See more keywords
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Published in 2020 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2020.2968886
Abstract: A new method is proposed for the accurate experimental characterization and fully automated extraction of compact nonlinear models for field-effect transistors (FETs). The approach, which leads to a charge-conservative description, is based on a single…
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Keywords:
nonlinear function;
large signal;
extraction;
measurement ... See more keywords
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Published in 2023 at "Biometrics"
DOI: 10.1111/biom.13838
Abstract: We consider general nonlinear Function-on-Scalar (FOS) regression models where the functional response depends on multiple scalar predictors in a general unknown nonlinear form. Existing methods either assume specific model forms (e.g., additive models) or directly…
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Keywords:
scalar predictors;
regression;
nonlinear function;
universal approximation ... See more keywords
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Published in 2017 at "International Journal of Operational Research"
DOI: 10.1504/ijor.2017.10005241
Abstract: This paper formulates piecewise fuzzy linear approximation of fuzzy nonlinear function of a single variable. First, we construct the equation of fuzzy line segment through two fuzzy points using -cuts of two fuzzy points. Now…
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Keywords:
fuzzy nonlinear;
programming problem;
fuzzy line;
nonlinear function ... See more keywords