Two Identification Methods for a Nonlinear Membership Function
Keyword(s):
This paper proposes two parameter identification methods for a nonlinear membership function. An equation converted method is introduced to turn the nonlinear function into a concise model. Then a stochastic gradient algorithm and a gradient-based iterative algorithm are provided to estimate the unknown parameters of the nonlinear function. The numerical example shows that the proposed algorithms are effective.
2014 ◽
Vol 651-653
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pp. 2314-2317
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2019 ◽
Vol 7
(1)
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pp. 1-6
2020 ◽
pp. 095965182095653
Keyword(s):
2013 ◽
Vol 336-338
◽
pp. 2320-2323
Keyword(s):
2021 ◽