Ultra high frequency polynomial and sine artificial higher order neural networks for control signal generator

Ming Zhang
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引用次数: 1

Abstract

New open box and nonlinear model of Ultra High Frequency Polynomial and Sine Artificial Higher Order Neural Network (UPS-HONN) is presented in this paper. A new learning algorithm for UPS-HONN is also developed from this study. A control signal generating system, UPS-HONN Simulator, is built based on the UPS-HONN models. Test results show that, to generate any nonlinear control signal, average error of UPS-HONN models is under 1e-6.
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用于控制信号发生器的超高频多项式和正弦人工高阶神经网络
提出了一种新的超高频多项式正弦人工高阶神经网络(UPS-HONN)的开箱非线性模型。在此基础上,提出了一种新的UPS-HONN学习算法。基于UPS-HONN模型,构建了控制信号生成系统UPS-HONN模拟器。测试结果表明,对于任意非线性控制信号,UPS-HONN模型的平均误差在1e-6以下。
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