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.
This paper treats an important problem in how to increase the accuracy of the tool wear condition evaluation. The problem of tool wear condition monitoring is always hard to be solved perfectly, especially the online monitoring. In order to arrive at the destination, the authors make use of artificial neural networks (BP) and support vector machines (RBF-SVM) which are two ways to build predictive...
A new kind of computer, called attribute grid computer based on qualitative mapping is presented in this paper, It is shown that a series of intelligent methods, such as production system, artificial neural network, and support vector machine can be fused in the framework of qualitative criterion transformation of qualitative mapping and can be implemented by attribute grid computer. And some examples...
In order to improve the recognition rate of a sucker rod's defect and reduce the rapture possibility of the rod, the mixed characters include of wavelet packet energy character and the peak value in the time-domain were used as the input of a recognition network, and artificial neural networks (ANN) and support vector machines (SVM) were used and compared as the recognition network to get the best...
Satellite images have been extensively used for rainfall estimation predictive models based on pattern recognition techniques, even so unsupervised and supervised. However, most of these kind of data are unlabeled, and the acquisition of labeled data for a learning problem often requires a skilled human agent to manually classify training examples. In this paper we introduce the use of semi-supervised...
A novel control chart pattern recognition system using support vector machine(SVM) is presented. Pattern recognition techniques have been wildly applied to identify abnormal patterns in control charts. Abnormal patterns exhibited by such charts can be associated with certain assignable causes affecting the process. Most of the existing recognition method are capable of recognizing a single abnormal...
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.