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"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"

특허 상세정보

Method and apparatus for input classification using a neural network

국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판) G06F-015/18   
미국특허분류(USC) 706/025 ; 706/020 ; 382/156
출원번호 US-0881133 (1997-06-24)
발명자 / 주소
출원인 / 주소
대리인 / 주소
    Schnader Harrison Segal & Lewis LLP
인용정보 피인용 횟수 : 5  인용 특허 : 47
초록

The present invention is a classification method and apparatus for classifying an input into one of a plurality of possible outputs. The invention is also a method and apparatus for adjusting a neuron encompassing a plurality of feature vectors. The invention characterizes the spatial distribution of the feature vectors. The invention then spatially adjusts the neuron in accordance with that characterization.

대표
청구항

[ What is claimed is:] [1.] A method for refining a neuron to efficiently encompass a plurality of feature vectors, wherein feature vectors are neither added to nor removed from said neuron, including the steps of:(a) characterizing the spatial distribution of said feature vectors; and(b) spatially adjusting said neuron in accordance with the characterization of step (a).

이 특허에 인용된 특허 (47)

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