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In the present water-supply monitoring system, every pipe network monitoring point is distributed in the range wide, in large quantity, in long distance, and not centralized, so there is certain difficulty to control. Through bringing in the theory of Multi-Agent, this text has proposed a kind of new-type long-range monitoring system of water-supply based on multi-agent. The system consists of control...
Although the decision support systems (DSS) theory and application has already taken significant progress, the development of DSS is strongly challenged for the bottleneck of existing serial characters store and process mechanism. The neural network is an ultra large-scale, time dynamic system with highly nonlinear. Its most important features are paralleled distributive treatment with large scale,...
The standard XML technology is used for Web information extraction in this paper, and a generic XML-based Web information extraction solution is proposed. In the extraction process, two key technologies are proposed and implemented: the XML-based Web data conversion technology and the DOM-based XPath generation technology, to simplify the information extraction work. XSLT is used as the description...
Recommendation systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed for the present recommendation systems, such as content-based, collaborative filtering, Web mining-based and so on. But they are always lack of intelligence, self-adaptiveness and initiative. Aiming at these disadvantages, in this work, a personalized...
With the development of network technology, online learning becomes easier. But how to meet the need of learners' personality in network study is still a big problem. In order to support the personalized study better in the network environment, we take the personalized learning system as the research background. The artificial intelligence and cognitive technology were employed in the design and research...
With increasingly prevalent of E-learning, the intelligent Q/A system arise at the historic moment. In this paper we proposed an improved text cluster algorithm, with the improved association rules algorithm, it can classify the information in the database accurately according to the questions, locate the user's question fast and therefore speeds up the inquiry rate. The experimental result indicates...
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