Posts Tagged ‘RBF’:

Research on Localization Algorithm for Wireless Sensor Networks

As a new network of information acquiring and transmitting, wireless sensor network(WSN) is made up some micro-sensor nodes. It can be used in Real-time monitoring and collecting various environmental information, then forward the information to ours for being analyzed and used. WSN has been applied widely in environment science, industry control, military defense, medical health

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The Research of License Plate Character Recognition Based on Neural Network Ensemble

Currently, the Intelligent Transport System (ITS) is a popular research subject in the field of world traffic. As an important constituent part of ITS, License Plate Recognition (LPR) plays a main role in the modern traffic control. In a manner of speaking that LPR is a very important and active research field in Pattern Recognition,

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The Identification of Fault Type in Transmission Lines Based on Neural Network

Running safely and steady of the power system is so important for all aspects of a country including economy and national defense, people’s work and life and so on. The stability of transmission lines, which connect all parts of the power system, is of major importance obviously. As the development of the power system, both

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The Identification of Fault Type in Transmission Lines Based on Neural Network

Running safely and steady of the power system is so important for all aspects of a country including economy and national defense, people’s work and life and so on. The stability of transmission lines, which connect all parts of the power system, is of major importance obviously. As the development of the power system, both

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Research on the Methods of Soft-sensing for Polymerization Conversion Rate of SBR

As a kind of synthetic rubber, Styrene-butadiene Rubber(SBR) has been widelyused in our daily life and military areas, because its good performances can be insteadof natural rubber in many ways. The real-time monitoring of polymerizationconversion rate is a difficulty for SBR production. At present, laboratory analysismethods are used to control the index in many domestic

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Sotf Sensor Modeling for On-line Estimation of Gelatin Concentration

Concentration of gelatin is one of the important parameters of the gelatinproduction process, it can be reflects the level of quality of gelatin, so the gelatinconcentration detection speed affect the gelatin production process. Domestic gelatinmanufacturers mostly use artificial timing sampling method to measure liquidconcentrations, but this is not easily contaminated sample, but also measured with

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The Application of Prediction Model Based on Linear Regression Method and Neural Network in National Economy Data

“CHINA STATISTICAL YEARBOOK” is a statistical data book which is editedby National Bureau of Statistics of China. The book is mainly responsible for theannual statistics of various data. In this paper, the research object is the second part ofthe book which is the national economy data. The national economy reflectes thenational economic data, including the

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Study and Application of Artificial Neural Network to Modeling Nonlinear System

With the development of the coal-burning system, combustion efficiency and environmental pollution of the power plant has become resent research hotspots. Base on optimizing the coal-boiling system, this paper mainly researches the model of boiling system using the artificial neural network. With the foundation of RBF net, this paper analyzes radial basis function algorithm and

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The Application Research on Volume Data Reconstruction Algorithms for 3D Ultrasound Imaging System

Because the ultrasound imaging has the advantages of no wound, wide applications, operational flexibility, security, reliability, low prices, and so on, it is the most rapidly developed and the quickest popular medical imaging technology after X-ray imaging.There are many clinical application limitations for conventional 2D ultrasound: Physicians need to imagine the 3D organ just from

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The Application Research on Volume Data Reconstruction Algorithms for 3D Ultrasound Imaging System

Because the ultrasound imaging has the advantages of no wound, wide applications, operational flexibility, security, reliability, low prices, and so on, it is the most rapidly developed and the quickest popular medical imaging technology after X-ray imaging.There are many clinical application limitations for conventional 2D ultrasound: Physicians need to imagine the 3D organ just from

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