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.
In this paper, a novel wood moisture content prediction model is established via SVR (support vector regression) for drying process with severe nonlinear and coupling. The particle position and velocity of particle swarm optimization (PSO) algorithm is used to optimize the model parameters, so as to realize wood moisture content prediction. Simulation results of Quercus mongolica show that the PSO...
The selection for hyper-parameters is difficult and important to the performance of least squares support vector machines (LS-SVM). The existed parameters selection algorithms, such as the analytical, algebraic techniques and particle swarm optimization (PSO) algorithm, have their own shortcomings. In this paper, the problem of model selection for LS-SVM is discussed and a new method selecting the...
According to the high-order nonlinearity and parameter uncertainty of the ship steering dynamics, it is difficult to establish the accurate mathematical model by using normal identification methods. To solve this problem, a new kind of least squares support vector regression based on the particle swarm optimization (PSO-LSSVR) is proposed. This method can select the parameters of LSSVR automatically...
Considering the prediction accuracy of health parameter in Engine Health Management (EHM) system used for aero-engine, a new compensation mechanism is proposed. The differences in the individuals of the same type engines and engine degradation after the use both will result in the modeling errors, while reducing the modeling errors is a key to improve the precision of fault diagnosis. A discrete series...
This paper presents a new SVM algorithm framework optimized by PSO algorithm. The value of parameters in the SVM has great influence on the performance of regression model. In previous works the choice of these parameters mainly depends on the experience. In our work PSO algorithm was used to optimize these parameters to form a new SVM framework - PSVM. The proposed algorithm was used to forecast...
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.