The welding path planning of manipulator is one of the key issues to improve efficiency in the industry. In allusion to the defects of particleswarmalgorithm, enlightened by quantum mechanics, the quantumparticle s...
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ISBN:
(纸本)9781479934348
The welding path planning of manipulator is one of the key issues to improve efficiency in the industry. In allusion to the defects of particleswarmalgorithm, enlightened by quantum mechanics, the quantum particle swarm algorithm is presented in this paper, expanding the search range of particles and retaining the good operability of particleswarmalgorithm. Based on features of welding manipulator path planning, the welding spots passed by particles are weight-coded and the combination optimization problem is made continuous. Finally, an optimal welding path for the manipulator is worked out by using this algorithm.
In order to solve the problem when monitoring and controlling penicillin fermentation processes, So an intelligent modeling method based on quantumparticleswarm Optimization (QPSO) algorithm and Weighted Least Squar...
详细信息
ISBN:
(纸本)9783642384608;9783642384592
In order to solve the problem when monitoring and controlling penicillin fermentation processes, So an intelligent modeling method based on quantumparticleswarm Optimization (QPSO) algorithm and Weighted Least Squares Support Vector Machines (WLS-SVM) is presented, which can overcome the noise of sample data, the high non-linear. Applied the method in penicillin fermentation processes and compared with the Pensim simulation platform data, it obviously found that the WLS-SVM is superior to the unweighted LS-SVM modeling method that has a better estimation accuracy and robustness.
In order to solve the problem when monitoring and controlling penicillin fermentation processes,So an intelligent modeling method based on quantumparticleswarm Optimization(QPSO) algorithm and Weighted Least Squares...
详细信息
In order to solve the problem when monitoring and controlling penicillin fermentation processes,So an intelligent modeling method based on quantumparticleswarm Optimization(QPSO) algorithm and Weighted Least Squares Support Vector Machines(WLS-SVM) is presented,which can overcome the noise of sample data,the high *** the method in penicillin fermentation processes and compared with the Pensim simulation platform data,it obviously found that the WLS-SVM is superior to the unweighted LS-SVM modeling method that has a better estimation accuracy and robustness.
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