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Full-Text Articles in Physical Sciences and Mathematics
Training Anfis By Using The Artificial Bee Colony Algorithm, Dervi̇ş Karaboğa, Ebubeki̇r Kaya
Training Anfis By Using The Artificial Bee Colony Algorithm, Dervi̇ş Karaboğa, Ebubeki̇r Kaya
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a new adaptive network-based fuzzy inference system (ANFIS) training algorithm, the artificial bee colony (ABC) algorithm, is presented. Antecedent and conclusion parameters existing in the structure of ANFIS are optimized with the ABC algorithm and ANFIS training is realized. Identification of a set of nonlinear dynamic systems is performed in order to analyze the suggested training algorithm. The ABC algorithm is operated 30 times for each identification case and the average root mean square error (RMSE) value is obtained. Training RMSE values calculated for the four examples considered are 0.0325, 0.0215, 0.0174, and 0.0294, respectively. In addition, …
Force And Torque Parameter Estimation For A 4-Pole Hybrid Electromagnet By Anfis Hybrid Learning Algorithm, Murat Atlihan, Bariş Can Yalçin, Kadi̇r Erkan
Force And Torque Parameter Estimation For A 4-Pole Hybrid Electromagnet By Anfis Hybrid Learning Algorithm, Murat Atlihan, Bariş Can Yalçin, Kadi̇r Erkan
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a force and torque estimation method based on an adaptive neuro-fuzzy inference system (ANFIS) has been developed to get rid of multiple integral calculations of air gap coefficients that cause time delay for magnetic levitation control applications. During magnetic levitation applications that contain a 4-pole hybrid electromagnet, multiple integral calculations have to be done for obtaining air gap permanence parameters, and these parameters are needed to calculate force and torque parameters that are produced by the poles of the hybrid electromagnet, which means, if time delay occurs for calculation of permanence parameters, actual force and actual torque …