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Fitting VFC's Output Using Functionally Connected High-Order Neural Networks

Fitting VFC's Output Using Functionally Connected High-Order Neural Networks
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摘要 A new method is presented in this paper for fitting Voltage-to-Frequency Converter (VFC's) output functions by using Functionally Connected High-order Neural Networks (FCHNN). The nonlinear estimation is implemented when the VFC110 is used at a full-scale output frequency of 4 MHz. Two kinds of on-line dynamic calibrating circuits are designed to improve the sampling precision. This method can also be applied to different industrial areas. A new method is presented in this paper for fitting Voltage-to-Frequency Converter (VFC's) output functions by using Functionally Connected High-order Neural Networks (FCHNN). The nonlinear estimation is implemented when the VFC110 is used at a full-scale output frequency of 4 MHz. Two kinds of on-line dynamic calibrating circuits are designed to improve the sampling precision. This method can also be applied to different industrial areas.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2004年第1期84-89,共6页 中国邮电高校学报(英文版)
关键词 VFC110 FCHNN nonlinear estimation dynamic calibration VFC110 FCHNN nonlinear estimation dynamic calibration
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