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.
Considering that existing neural network's weights are randomly selected, hidden layer nodes are difficult to determine, the convergence speed is slow, and all these will easily lead to the problems such as local minimum values. In order to solve these problems, this article puts forward a kind of cooperative co-evolutionary genetic neural network. On the one hand, cooperative co-evolutionary genetic...
Information modernization is an essential process for ore sinter plant. In order to improve information interaction capability, a data acquisition system is designed by integrated OPC (OLE for Process Control), networks and database technology. Its frame is schemed with three layers, i.e. industrial field devices, industrial controllers and information interaction computers. And two kinds of application...
Laboratory experiments are always vital for a university student in electronic engineer to improve her/his practical skill. However, because of unit cost and availability, student may not get opportunity to use the equipments, particularly the latest industrial equipments, in their experiments. For this reason many graduates require time to adapt to real industrial technology when they leave university...
Printing on demand technology develops in view of the traditional printing shortcoming and the present time new change demand, it has satisfied the people's "needs" to the printed matter. In order to facilitate the digital content fast which we inquiry it, this paper used the workflow software demonstrate this process that from polling message to transmission the digital content. The results...
This paper describes a modified security teach-lab management model and a modified key management protocol based on ECC Digital Certificate which aims to answer these questions that how to solve the security problem between the client operation and service operation. It illustrates the model by presenting a ECC certificate framework of teach-lab applications, and proposes a modified key management...
Recommendation System is one of the most important research topics in E-commerce, and multiple recommendation methods have been developed. However, most traditional ways didn't consider the variability and diversity of user interests. To solve this problem, this paper introduces the Customer Life Cycle theory of Customer Relation Management to analyze changes of user interests. Further, we define...
To solve problems in data-driven fault prognostic study such as prediction uncertainty management, multiple fault features and on-line prognostics, an algorithm based on multivariate relevance vector machine (MRVM) is presented. It extends the existing time series iterative multi-step prediction to the application with multiple fault features by matrix partitioning technique. For on-line application,...
The positive real analysis problem for discrete singular systems is considered. By giving an augmented system for general discrete singular system, and using the equivalent admissibility between augmented system and original system and the character of linear matrix inequalities, a new necessary and sufficient condition for that discrete singular systems are admissible is derived. And the new admissible...
In this paper, we do research on principle and application of Cellular Automata (CA), and then design a model of data mining for forest-fire CA based on Fuzzy KModes. In our experiment we focus on the data set generated by forest-fire CA and the results prove that we have detected some valuable essential rule about fire happening and forest growth. Further, we point out that our model is useful for...
Feature selection has received considerable attentions in various areas as a way to select informative features and to simplify the statistical model through dimensional reduction. In this work, we introduce a novel concept, membership probability of a feature, and propose a novel approach to feature selection for clustering which can find the most optimal candidate features effectively among the...
Traditional Community discovery focuses on the study of statical structures of social network while ignores the individuals with high motility. This paper in terms of the dynamic discovery problems in social network, on the basis of complex priority and the grouth theorem, comes up with a new method that according to the degree distribution of vertices to dynamically simulate the formation of the...
In order to enhance the autonomous navigation ability of multiple mobile robots, a tabu search based leader follower flocking algorithm is proposed to overcome the local minima problem and realize the autonomous navigation in unknown obstacle environments. Leader robot is capable of avoiding obstacles and seeking goal by tracking virtual sub goals generated by tabu search algorithm, follower robots...
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.