Posts Tagged ‘RBF network’:

Inspection System Identification of Floating Dock Conditions Based on RBF Networks

In order to achieve the floating and sinking of the floating dock in the water area, a floating and sinking system is needed. The system makes that the other ships can go in and out the dock cabin of the floating dock at different water area to work. The control system is based on adjusting

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Study on Flaws Identification in Ultrasonic Nondestructive Test

Ultrasonic testing is feasible and effective,and it brings an outstanding foreground. As one of the five major nondestructive test(NDT)methods,ultrasonic NDT has been applied in the industry field extensively.An automatically method of flaws identification is proposed in this paper,which combines the advantages of wavelet packet transform(WPT)and empirical mode decomposition(EMD)when adopted to preprocess non-stationary signals,the superiority of

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Based on Neural Network Model of Hot-rolling

With the development of steel rolling technology, users are strict in quality of the product especially in strip thickness and accuracy. Because the strip thickness accuracy depends primarily on the rolling force model setting accuracy, so improvement in the setting accuracy of rolling force model has become the key to solving the problem of the

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Computational Intelligence Integrated Approaches Based on Swarm Intelligence and Neural Network

Since the invention of the computer, using a computer instead of the human brain deal with the problem has been the ultimate goal of artificial intelligence scholars.But the human brain is a complex system,we still can not fully understand many of its working mechanism today. So in order to achieve true artificial brain,there is still

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Computational Intelligence Integrated Approaches Based on Swarm Intelligence and Neural Network

Since the invention of the computer, using a computer instead of the human brain deal with the problem has been the ultimate goal of artificial intelligence scholars.But the human brain is a complex system,we still can not fully understand many of its working mechanism today. So in order to achieve true artificial brain,there is still

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Research on Lyrics Extraction and Recognition for Chinese Numbered-Notation Score

The numbered musical notation(NMN) is a musical notation system widely used among the Chinese people, with the technology of Optical Music Recognition(OMR) being well developed, the OMR of NMN scores has gradually attracted some scholars, but few scholars had detailedly studied for a lyrics information extraction in NMN scores at the present time. This paper

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Research of Machine Tools State Mornitoring Based on Atificial Intelligence

In this thesis,the tool monitoring and control technology of both oversea and domestic has been studied,more focus on the application of the Artificial Neural Networks in the tool monitoring and control technology.Due to the extremely high non-linear mapping capability of Neural Networks,it is especially suitable for the identification of the complex pattern recognition,which has therefore

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Wear Fault Dynamic Analysis and Fault Diagnosis Research of Reciprocating Machinery

Reciprocating machinery is widely used in all kinds of industrial fields, on which the fault diagnosis is one of study focuses in domestic and overseas. Many people do some work on Reciprocating machinery fault diagnosis , but the level on Reciprocating machinery fault diagnosis is low and mismatch with the present situation on the application

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Researches on the Method of RBF Networks and SVR Modeling Based on Spatial Adjacency

With various data collection means advancing, spatial data analysis has faced more complex space-time objects and more huge amounts of space-time data than past. Some traditional means of spatial data analysis have not meet dealing with the huge amounts of data in the geographic information system and geo-information science. Computational intelligence including artificial neural network

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Researches on the Method of RBF Networks and SVR Modeling Based on Spatial Adjacency

With various data collection means advancing, spatial data analysis has faced more complex space-time objects and more huge amounts of space-time data than past. Some traditional means of spatial data analysis have not meet dealing with the huge amounts of data in the geographic information system and geo-information science. Computational intelligence including artificial neural network

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