Optimizing SVM’s parameters based on backtracking search optimization algorithm for gear fault diagnosis
نویسندگان
چکیده
منابع مشابه
A PSO and pattern search based memetic algorithm for SVMs parameters optimization
7 Addressing the issue of SVMs parameters optimization, this study proposes an efficient 8 memetic algorithm based on Particle Swarm Optimization algorithm (PSO) and Pattern Search 9 (PS). In the proposed memetic algorithm, PSO is responsible for exploration of the search space 10 and the detection of the potential regions with optimum solutions, while pattern search (PS) is 11 used to produce ...
متن کاملBilateral Teleoperation Systems Using Backtracking Search optimization Algorithm Based Iterative Learning Control
This paper deals with the application of Iterative Learning Control (ILC) to further improve the performance of teleoperation systems based on Smith predictor. The goal is to achieve robust stability and optimal transparency for these systems. The proposed control structure make the slave manipulator follow the master in spite of uncertainties in time delay in communication channel and model pa...
متن کاملIdol-Guided Backtracking Search Optimization Algorithm
This paper introduces a new variant of the Backtracking Search Optimization Algorithm (BSA) in order to improve the quality of the solutions found by the algorithm. The proposed algorithm is called Idol-Guided Backtracking Search Optimization Algorithm (IG-BSA): it uses the historical population defined in BSA to build and update a set of idols taken from several previous generations, and the c...
متن کاملOptimization of Analog Circuit Fault Diagnosis Parameters based on SVM and Genetic Algorithm
Currently, Diagnostic parameters of analog circuits fault diagnosis based on SVM are adjusted in accordance with the principle to determine the global optimum or by trial. Parameter adjustment is not considered practical diagnostic system diagnostic requirements. It can not be part of various diagnostic parameters simultaneously adjust and optimize. The results are not satisfactory. The paper p...
متن کاملAn Improved Backtracking Search Algorithm for Constrained Optimization Problems
Backtracking search algorithm is a novel population-based stochastic technique. This paper proposes an improved backtracking search algorithm for constrained optimization problems. The proposed algorithm is combined with differential evolution algorithm and the breeder genetic algorithm mutation operator. The differential evolution algorithm is used to accelerate convergence at later iteration ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vibroengineering
سال: 2019
ISSN: 1392-8716,2538-8460
DOI: 10.21595/jve.2018.19859