Enhancing simulated kalman filter algorithm using current optimum opposition-based learning

Enhancing simulated kalman filter algorithm using current optimum opposition-based learning

Simulated Kalman filter (SKF) is a new population-based optimization algorithm inspired by estimation capability of Kalman filter. Each agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering, the SKF includes prediction, measurement, and estimation process to search...

Full description

Bibliographic Details
Main Authors: Kamil Zakwan, Mohd Azmi, Zuwairie, Ibrahim, Pebrianti, Dwi, Mohd Falfazli, Mat Jusof, Nor Hidayati, Abdul Aziz, Nor Azlina, Ab. Aziz
Format: Article
Language:English
Published: Penerbit UMP 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/24720/
http://umpir.ump.edu.my/id/eprint/24720/
http://umpir.ump.edu.my/id/eprint/24720/
http://umpir.ump.edu.my/id/eprint/24720/8/Enhancing%20simulated%20Kalman%20filter%20algorithm%20using%20current.pdf

Internet

http://umpir.ump.edu.my/id/eprint/24720/
http://umpir.ump.edu.my/id/eprint/24720/
http://umpir.ump.edu.my/id/eprint/24720/
http://umpir.ump.edu.my/id/eprint/24720/8/Enhancing%20simulated%20Kalman%20filter%20algorithm%20using%20current.pdf

Similar Items