Title:
NEURAL NETWORK FREQUENCY CONTROL
Document Type and Number:
WIPO Patent Application WO/2013/023068
Kind Code:
A4
Abstract:
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.
Inventors:
ESTERLINE JOHN (US)
Application Number:
PCT/US2012/050164
Publication Date:
March 28, 2013
Filing Date:
August 09, 2012
Export Citation:
Assignee:
GREENRAY IND INC (US)
ESTERLINE JOHN (US)
ESTERLINE JOHN (US)
International Classes:
G06N3/02; G05B13/02; H03L1/00
Attorney, Agent or Firm:
CHRISTENSEN, Michael, R. (Martens Olson & Bear, LLP,2040 Main Street, 14th Floo, Irvine CA, US)
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