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In present work we aimed to develop a NN based approach to translate the design parameter from a submicron technology to a long channel one. The proposed approach is able to find the superseded design parameters in 1.2 mum technology using the input information, which are design parameters of Gain, Phase Margin, Unity Gain Bandwidth and Power in TCMS 0.18 mum. The training data are obtained by various...
This work aims to achieve a design of a smart humidity sensor, the goal of this study is to eliminate the non-linearity and the cross sensitivity of the output sensor used. The humidity sensor is a MEMS capacitive kind. Using neuronal networks and Matlab environment we have done the training to design an analytical model ANN and create a model for this component in the PSPICE simulator library, where...
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