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  • Hung-Yi Yang
  • 2014
As design becomes more and more complicated, functional verification is getting challenging than ever. The challenges come in twofold: verification is taking longer to finish and difficult to catch all functional errors. Surveys[1] shown that functional error has been the number one reason for re-spin. How well verification is done becomes a very important(More)
In this paper, the traditional neural network technology has been utilized to modeling the wave-induced ship motions in irregular seas on the Kaohsiung harbor in Taiwan. The training data for neural network is obtained from real case experimental measurements. The proposed tool makes possible the handling of a non-linear dynamic system with insufficient(More)
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