Oppositional learning prediction operator with jumping rate for simulated kalman filter

Simulated Kalman filter (SKF) is among the new generation of metaheuristic optimization algorithm established in 2015. In this study, we introduce a prediction operator in SKF to prolong its exploration and to avoid premature convergence. The proposed prediction operator is based on oppositional lea...

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Մատենագիտական մանրամասներ
Հիմնական հեղինակներ:	Badaruddin, Muhammad, Mohd Saberi, Mohamad, Zuwairie, Ibrahim, Kamil Zakwan, Mohd Azmi, Mohd Ibrahim, Shapiai, Mohd Falfazli, Mat Jusof
Ձևաչափ:	Conference or Workshop Item
Լեզու:	English English
Հրապարակվել է:	IEEE 2019
Խորագրեր:	TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Առցանց հասանելիություն:	http://umpir.ump.edu.my/id/eprint/25147/1/43.%20Oppositional%20learning%20prediction%20operator%20with%20jumping%20rate.pdf http://umpir.ump.edu.my/id/eprint/25147/2/43.1%20Oppositional%20learning%20prediction%20operator%20with%20jumping%20rate.pdf

Համացանց

http://umpir.ump.edu.my/id/eprint/25147/1/43.%20Oppositional%20learning%20prediction%20operator%20with%20jumping%20rate.pdf
http://umpir.ump.edu.my/id/eprint/25147/2/43.1%20Oppositional%20learning%20prediction%20operator%20with%20jumping%20rate.pdf

Oppositional learning prediction operator with jumping rate for simulated kalman filter

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