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An artificial neural network (ANN) is utilized to characterize a current-mode capacitorless bandpass biquad based on a simple single-stage CMOS OTA. The training data is automatically collected from HSPICE simulations based on the AMS's 0.35 mu CMOS process. The trained ANN is able to indicate the feasibility of biquad's requirements with low probability of type-I and type-II error. The ANN-generated...
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