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    • 1. 发明授权
    • Neural network frequency control
    • 神经网络频率控制
    • US09092726B2
    • 2015-07-28
    • US13570563
    • 2012-08-09
    • John Esterline
    • John Esterline
    • G06N3/02H03L1/02H03L1/04G06N99/00G06N3/08
    • G06N3/02G06N3/084G06N99/005H03L1/025H03L1/026H03L1/04
    • Systems and methods for controlling frequency output of an electronic oscillator to compensate for effects of a parameter experienced by the oscillator incorporate artificial neural network processing functionality for generating correction signals. A neural network processing module includes one or more neurons which receive one or more inputs corresponding to a parameter of an electronic oscillator, such as temperature. Weights are calculated and applied to inputs to the neurons of the neural network as part of a training process, wherein the weights help shape the output of the neural network processing module. The neural network may include a linear summation module configured to provide an output signal that is at least partially based on outputs of the one or more neurons.
    • 用于控制电子振荡器的频率输出以补偿振荡器所经历的参数的影响的系统和方法包括用于产生校正信号的人造神经网络处理功能。 神经网络处理模块包括一个或多个神经元,其接收与诸如温度的电子振荡器的参数相对应的一个或多个输入。 计算权重并将其应用于作为训练过程的一部分的神经网络的神经元的输入,其中权重有助于形成神经网络处理模块的输出。 神经网络可以包括被配置为提供至少部分地基于一个或多个神经元的输出的输出信号的线性求和模块。