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 investigates the problem of stability analysis of neural networks with time-varying delay. Some augmented double integral term and triple integral terms are introduced to the Lyapunov-Krasovskii functional (LKF). And the derivative of the LKF is estimated by the free-matrix-based integral inequality. Then, a less conservative stability criterion is derived. Finally, a numerical example...
Base bleed propellant is an important component of the increasing rang projectile using base bleed technology. Unsteady strongly combustion leads to extinguish, reignition or critical state which produce an effect on rang dispersion. The burning behavior is determined by the initial pressure of combustion chamber and the maximum pressure decay rate, which was investigated by simulation experimental...
Production quality in the food production supply chain is studied in this paper. The deficiency of quality monitoring existing in traceability systems is analyzed. An abnormality diagnosis algorithm, pre-warning method and pre-warning system are presented. The potential production abnormality of the logistics unit in the whole supply chain is diagnosed; a warning is generated; and decision support...
This paper provides a neural network model to address the problem of travel time prediction. A single segment model based on the state space neural network is used for modeling traffic flow on one single signalized segment. Thus, modelling a longer arterial covering several controlled intersections is conducted by assembling each individual segment models. This reduces significantly the amount of...
This paper presents a method of textile flaw detection and classification based on wavelet reconstruction and BP neural network. The common two types of textile flaws, namely oil stain and hole, can be detected and classified. The method can handle two types of texture fabrics: statistical textures with isotropic patterns and structural textures with oriented patterns. For the extraction of flaw features,...
For the problem of soil moisture prediction, existing approaches in literature [M. Kashif et al., 2006; Y. Shao et al., 1997] usually utilize as many decision factors as possible, e.g. rainfall, solar irradiance, drainage, etc. However, the redundancy aspect of the decision factors has not been studied rigorously. Previous research work in data mining has shown that removing redundant features improves...
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.