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In this paper, credibility evaluation issue of missile flight simulation model is studying by applying neural network technique. Aiming at the subsistent insufficiency of model validation method in application, we present a credibility evaluation method based on neural network. Which uses the powerful ability of nonlinearity mapping of neural network by utilizing missile flight state data of simulation...
This paper focuses on methods to discriminate a temporary fault from a permanent one, and accurately determine fault extinction time in an extra high voltage (EHV) transmission line in a bid to develop a self-adaptive automatic reclosing scheme. Consequently, improper reclosing of the line onto a fault is avoided. The fault identification prior to reclosing is based on optimized artificial neural...
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 The proposed approach is able to find the superseded design parameters in 1.2 mum technology using the input information, which are design parameters of Gain, Phase Margin, Unity Gain Bandwidth and Power in TCMS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...
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