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 traditional ultrasonic flow measurement, temperature has great great influence on the speed of sound. To insure high accuracy and sensitivity measurement of ultrasonic flow meter, on the basis of nonlinear compensation method, temperature compensating model of ultrasonic flow measurement is established by the application of BP (Back Propagation) neural network. The system hardware structure design...
In order to resolve the problem of deficiency in the data of slab thermal properties during calculating the slab temperature in heating furnace, a new method using artificial neural networks to estimate the slab thermal properties is introduced. Based on the fact of the thermal properties change mainly with the chemical ingredients and the temperature, two BP neural networks which work together and...
A new text categorization method based on singular value decomposition (SVD) and cascade correlation (CC) algorithm is proposed. Most traditional classification systems represent the contents of documents with vector space model (VSM) which represents documents with a set of index terms. However, this model needs a high dimensional space to represent the documents and it does not take into account...
In order to eliminate the influence of temperature on ultrasonic flow measurement, on the basis of nonlinear compensation method, temperature compensating model of ultrasonic flow measurement is established by the application of BP (back propagation) neural network. The network is adjusted by measuring samples to compensate temperature loss of the ultrasonic flow measurement system. The simulation...
Is this paper, Bayesian approach was used to learn the artificial neural network. In Bayesian ANN, the error function consists of two terms: first term is the error term of entire data, second term is the extra regularizing term (also called weight decay term) which can penalize large weight. Each weight and the error were considered as random variables, their prior probability distributions are normal...
A neural network controller is designed for DC-DC buck converter, and hardware implementation problem of the controller is discussed based on FPGA.The reconfigurable features of neural network controller is analyzed in the article, the controller is built to achieve the model based on SG/Simulink and three basic reconfigurable units was given. The simulation results show that the FPGA-based reconfigurable...
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.