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.
The prediction of exploitable reserves of oil layer is a complicated problem, which involves many geological and crude oil parameters. Considering its intrinsic properties, this paper put forward an improved fuzzy neural network (FFN) method, and compared it with the traditional BP method. The results showed that this method has better accuracy and reliability, hence it may provide an important reference...
In this paper, six thermal-wet comfort objective evaluation indexes of 36 kinds of knitted fabrics such as air permeability rate, moisture transmission rate, wicking height, moisture regain rate, moisture diffusion rate and thermal resistance were tested and analyzed. And then the 36 kinds of knitted fabrics were made into the same style clothes. Four thermal-wet comfort subjective evaluation indexes...
Blast furnace top gas recovery turbine unit, TRT for short, is an energy saving system. Turbine is the key equipment in TRT system. The normal operation of turbine is directly related to the capacity of TRT system and the benefit of enterprises. In order to achieve the prediction of operation data of turbine, this paper firstly processed the turbine operation data collected from production scene with...
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 novel method for forecasting the silicon content in hot metal is proposed using principal component analysis (PCA) and BP network. PCA can consider the correlations among multiple quality characteristics to obtain uncorrelated principal components. These principal components are then taken as the input parameters of the BP neural network. Then the BP network models are established and trained to...
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.