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.
Ecological counties of mountain areas are often in a dilemma between the undeveloped economy and the pressure of ecological environment from contaminated industry. As a typical ecological county of mountain areas, Shixing County's industrialization will enter medium stage. Based on the indexes including static time of regional disparity, regional economic quotient, and the contradictory between economic...
The diagonal recurrent neural networks (DRNN) is a powerful computational tools that have been used extensively in the areas of pattern recognition, systems modeling and identification. This paper proposes a self-tuning PID decoupling control based on DRNN neural networks for solving the time-varying coupling nonlinear control problems. The approach can on-line identify the controlled plant using...
Radial basis function (RBF) neural network (NN) is powerful computational tools that have been used extensively in the areas of pattern recognition, systems modeling and identification. This paper proposes an adaptive PID control method based on RBF neural network identification. This approach can on-line identify the controlled plant with the RBF neural network identifier and the weights of the adaptive...
Support vector machines (SVM) is a novel machine learning method based on small-sample statistical learning theory (SLT), and is powerful for the problem with small sample, nonlinearity, high dimension, and local minima. SVM have been very successful in pattern recognition, fault diagnoses and function estimation problems. Least squares support vector machines (LS-SVM) is an SVM version which involves...
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.