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, identification information is put into the distance measure, using this new distance measure instead of the Euclidean distance to construct k -neighbor, We propose a new improved supervised locally linear embedding method. The IS-LLE method can reduce the vectors dimension with keeping their original topology structure into a lower dimension space, the methods increases the margin of...
The inspection process of rolling coil wastes time and increases cost of enterprise. The enterprise is eager to find a prediction analysis method which can predict performance of rolling coil by some of relative data. Data Warehouse provide plenty of data for performance prediction. Because productive process is complicated, the statistical analysis method and the traditional machine learning method...
Event extraction is a major task of Automatic Content Extraction (ACE) program. This paper focuses on the sub-task of event extraction, event argument identification, and proposes a novel method for Chinese event argument identification. The method involves two steps: (1) weighting features by the ReliefF algorithm for considering the particular contributions of different features on clustering analysis,...
To improve the performance of diagnosis system, the ensemble learning mechanism using Dempster-Shafer evidence theory (D-S) in pattern classification problem is introduced, which allows multiple diagnosis agents to work together. However, the one-vote veto problem existing in D-S theory affects the performance of the ensemble learning algorithm using D-S theory. To solve this problem, a new improved...
A method of pattern recognition of tool wear based on Discrete Hidden Markov Models (DHMM) is proposed to monitor tool wear and to predict tool failure. FFT features are first extracted from the vibration signal and cutting force in cutting process, and then FFT vectors are presorted and converted into integers by SOM. Finally, these codes are introduced to DHMM for machine learning and 3 models for...
A method of pattern recognition of tool wear based on Discrete Hidden Markov Models (DHMM) is proposed to monitor tool wear and to predict tool failure. At the first FFT features are extracted from the vibration signal and cutting force in cutting process, then FFT vectors are presorted and coded into code book of integer numbers by SOM, and these code books are introduced to DHMM for machine learning...
To distinguish chatter gestation, chatter recognition based on hybrid SOM/DHMM is proposed for dynamic patterns of chatter gestation in cutting process. At first FFT features are extracted from the vibration signal of cutting process, then FFT vectors are presorted and coded into code book of integer numbers by SOM (self-organizing feature map), and these code books are introduced to DHMM (discrete...
A new method of chatter prediction based on discrete hidden Markov models (DHMM) is proposed for dynamic patterns of chatter gestation in cutting process. At first FFT features are extracted from the vibration signal of cutting process, then FFT vectors are presorted and coded into code book of integer numbers by SOM, and these code books are introduced to DHMM for machine learning and classification...
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.