This paper proposes a new method to predict the anomalous threshold voltage behavior in submicrometer MOSFETs by using fuzzy theory and neural network. It has been developed to analyze the threshold voltage behaviours due to the geometric effect in MOSFETs. The predict results are compared with experimental data obtained from actual devices. A good agreement has been obtained on the threshold voltage behaviors versus device geometry.
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