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FPGA Based Design And Implementation of Neural Network Compensators for Nanocrystalline MEMS Pressure Sensor
In this paper the effects of nonlinearity and temperature of nanocrystalline MEMS pressure sensor have been compensated using neural network algorithm which has been implemented on a FPGA chip. The neural network employs back propagation algorithm to train the multilayer perceptron feed forward netw
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