Posts Tagged ‘Production rule’:

Adaptive Quantum-behaved Particle Swarm Optimization Algorithm with Mutation Operator and Application

Particle swarm optimization (PSO) is introduced by Kennedy and Eberhart in 1995 [1], it is a population based evolutionary optimization and inspired by the collective behaviors of birds. It has already been shown that PSO has ever since turned out to be a competitor in performance with other evolutionary algorithms. The loss of diversity in

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Study on the Intelligent Fault Diagnosis System of Vacuum Unit Based on LabVIEW

With the development of technology and modern industry,artificial intelligence technology is continuously applied to machinery fault diagnosis.Petri Net is one of the most effective methods of artificial intelligence to describe,analyze and control discrete event system.But the research of fault diagnosis technology based on Petri Net still belongs to the starting stage.The complete theoretical system hasn’t

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Research and Design on Dynamic Composition of Web Services Based on Best Path

As a new distributed application design platform in Internet, Web Services can be used to package information, behavior, data and business processes. You can call the Web Service as long as all applications accessed to the Internet. Web Services has become one of the most competitive technologies in IT industry that make up of the

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The Research and Realization of Troubleshooting Decision Support System of Railway Signal Equipment

Railway is an important transport mode of our country, and railway signal device is major facility able to command the train and improve the efficiency of transport operations management. Therefore, ensuring the safety of the signal device has become an important part of the railway security work.At present, the maintenance work of Railway are generally

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Research of Port Piece-Rate System Based on Rule Base

Port is the hub of sea and land transport, which is an important place for trade and the distribution of goods. With the rapid development of the global economy, the port gradually evolved into the center of the allocation of resources and logistics, which plays an increasingly important role in international trade. Along with the

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Research and Implementation of Rule Description Laguage and Its Complilation in Rule Engine

With the development of society and progress of scientience and technology of the world, business environement is changing much more quickly than past decades. Enterprises have to constantly adjust their business strategy, optimize business processes, and improve operational efficiency all times for keeping a competitive advantage and enhancing their own core competency. As the backbone

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Research and Application of Power Grid Intelligent Alarm System

As the power grid is more and more complex,the information transformed from the SCADA to the Drid Dispatching Center increases rapidly which makes the Dispatcher do not know how to deal with so many radiply changed warnings,and the really important warnings may be ignored.In view of this problem,this paper researched and designed the Intelligent Alarm

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Research on the Intelligent Tutoring System Based on SCORM Specification

Education plays a basic and important role in the development of our country. Today, with the rapid-developing information technology, applying information-based education has become one of the hardest tasks that constructor of education system have to face. However, there still exists a wide gap in the field of education especially information-based education between developed countries

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Study and Implementation of Rice Disease Diagnoses Expert System

As one of the most important grains in our country, rice suffers a lot from various diseases which will cause the drop in production and harm the safety of our yield directly. Yet, in our country, there are a large number of people working on rice-plantation who are poorly-educated; correspondingly, the number of people engaged

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Extended Rough Set Models and Their Applications in Quality Prediction and Evaluation for Tobacco Leaves

Rough set theory is an efficient machine learning tool which deals with imprecise, incomplete and inconsistent data. However, Pawlak’s traditional rough set theory shows its limitations when facing some kinds of uncertainties in reality. In order to get better use in the practical process, some improvements and extentions of Pawlak’s traditional rough set theory and

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