首页> 外文会议>International Joint Conference on Neural Networks;IJCNN 2009 >Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks
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Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks

机译:基于小波神经网络的带延迟约束的多电源动态门的开关和泄漏功率建模

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A model for forecasting the switching power, leakage power and delay of the multiple-supply dynamic OR gates based on wavelet neural networks in 45 nm technology is proposed. By studying the impact of the multiple-supply technique (MST) on the power and delay characteristics, the proposed forecasting model could forecast the nonlinear changing of the switching power, leakage power and delay of the different inputs dynamic OR gates with fast speed convergence and high precision. At last, the trend of the forecasting curve is discussed.
机译:提出了一种基于小波神经网络的45 nm多电源动态或门的开关功率,泄漏功率和时延预测模型。通过研究多电源技术(MST)对功率和延迟特性的影响,提出的预测模型可以快速收敛并预测不同输入动态或门的开关功率,泄漏功率和延迟的非线性变化。高精准度。最后,讨论了预测曲线的趋势。

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