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.
Bath temperature and alumina concentration are two important but hard to measure online parameters of aluminum reduction cell. To this problem, a novel method based on least squares support vector machine (LS-SVM) and chaos optimization is proposed to establish predictive models of the two parameters. This method employs chaos optimization technique to iterate and search in feasible regions so as...
Call center has been paid more and more attention, a method for predicting call center service grade with improved neural network algorithm was put forward according to the call center service quality management requirements in the enterprise. The optimization algorithm Levenberg-Marquardt was utilized to increase the convergence speed of BP neural network. And overcome the shortcomings of falling...
Large-scale Generating Unit in heat power is a system which is complex nonlinear, multivariable, time-variant with long-time delay and difficult to establish accurate model, and etc. So it is hard to make system gain optimum running effect with conventional control strategy. A PID network which has dynamic character is used to identify the coordinated control system for establishing a predictive model...
With the development of electric power, Large-scale Generating Unit in heat power plant is a system which is Strong-coupling, nonlinear and difficulty to establish accurate model, and etc, those characteristic become more and more prominent. So it is hard to make system gain optimum running effect with conventional control strategy. Aiming at characteristic of generating unit, GA-BP network is used...
Drum water level is one of the main control parameters for turbo-generator unit. It is significant for drum water level researching as its many influence factors and false water level easily to bring about. The predictive control based on ant colony optimization (ACO) is used for the control of drum water level in this paper. The SVM with RBF kernel is used for training regression vector in order...
It is difficult to have good performance to control large delay time system. A neural network identification method for nonlinear system's delay time was discussed. Using the abrupt mutation resulted from the training error sum square of the real output and the expected output of the network, this method changed the input sample period of the neural network so that it could discriminate the delay...
In allusion to the problems that the conventional wavelet neural network has disadvantages of training slowly, convergence to the local minimum easily and poor approximation performance, two aspects including initial parameters selection and network training methods were selected to be optimized after analyzing its approximation performance. A kind of self-adaptive method to get the number of hidden...
According to the problems of the nonlinearity and non norm on dam displacement prediction, the dam displacement mode based on improved ant colony algorithm neural networks was proposed. The binary ant colony algorithm has been brought into the optimization of weights in neural networks. So that the shortcomings of the ant algorithm using in the combinatorial optimization in continuous field have been...
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.