The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is a global convergence guaranteed search method, which introduced quantum theory into traditional Particle Swarm Optimization (PSO). QPSO algorithm outperforms traditional PSO algorithm in search ability as well as having less parameter. In this paper, we employ QPSO algorithm to optimize the feeding rate of alcohol fermentation with the...
In accordance with optimization control and modeling of polymyxin fermentation process, least square support vector machine(LSSVM) model was established, and a method was proposed to find the better parameter value by using quantum-behaved particle swarm optimization(QPSO) which has better search ability. The QPSO-LSSVM model was trained and tested with polymyxin fermentation data-set. The results...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.