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Method for operating a neural network with missing and/or incomplete data 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/18
출원번호 US-0936679 (1997-09-27)
발명자 / 주소
  • Keeler James David
  • Hartman Eric Jon
  • Ferguson Ralph Bruce
출원인 / 주소
  • Pavilion Technologies, Inc.
대리인 / 주소
    Howison
인용정보 피인용 횟수 : 146  인용 특허 : 0

초록

A neural network system is provided that models the system in a system model (12) with the output thereof providing a predicted output. This predicted output is modified or controlled by an output control (14). Input data is processed in a data preprocess step (10) to reconcile the data for input to

대표청구항

[ What is claimed is:] [1.] A method for estimating error in a prediction output space of a predictive system model over a prediction input space as a prediction error, comprising the steps of:receiving an input vector comprising a plurality of input values that occupy the prediction input space;out

이 특허를 인용한 특허 (146)

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