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Image Search Results
Journal: Computational and Mathematical Methods in Medicine
Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine
doi: 10.1155/2016/3572705
Figure Lengend Snippet: The psudocode the BPSO/SVM.
Article Snippet: BQPSO/SVM approach was implemented on
Techniques:
Journal: Computational and Mathematical Methods in Medicine
Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine
doi: 10.1155/2016/3572705
Figure Lengend Snippet: Comparison of accuracy with the proposed algorithm, BPSO/SVM, and GA/SVM.
Article Snippet: BQPSO/SVM approach was implemented on
Techniques:
Journal: Computational and Mathematical Methods in Medicine
Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine
doi: 10.1155/2016/3572705
Figure Lengend Snippet: The average number of genes selected by BQPSO/SVM, BPSO/SVM, and GA/SVM, respectively.
Article Snippet: BQPSO/SVM approach was implemented on
Techniques:
Journal: Computational and Mathematical Methods in Medicine
Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine
doi: 10.1155/2016/3572705
Figure Lengend Snippet: Comparison in terms of statistical results of BQPSO/SVM, BPSO/SVM, and GA/SVM.
Article Snippet: BQPSO/SVM approach was implemented on
Techniques:
Journal: Scientific Reports
Article Title: Shaping electromagnetic waves using software-automatically-designed metasurfaces
doi: 10.1038/s41598-017-03764-z
Figure Lengend Snippet: Flowchart of the BPSO algorithm together with the CST Microwave Studio. A bridge connects the CST Microwave Studio and Matlab, in which CST MWS can call Matlab, and also be called by Matlab.
Article Snippet: Figure vividly describe the detailed process of the
Techniques: