[특허]Classification procedure implemented in a hierarchical neural network, and hierarchical neural network

Classification procedure implemented in a hierarchical neural network, and hierarchical neural network 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06K-009/00
출원번호	US-0653595 (1991-02-08)
우선권정보	FR-0001529 (1990-02-09)
발명자 / 주소	Sirat Jacques-Ariel (Limeil-Brevannes FRX) Nadal Jean-Pierre (Gentilly FRX)
출원인 / 주소	U.S. Philips Corp. (New York NY 02)
인용정보	피인용 횟수 : 30 인용 특허 : 0

초록 ▼

Classification procedure implemented in a tree-like neural network which, in the course of learning steps, determines with the aid of a tree-like structure the number of neurons and their synaptic coefficients required for the processing of problems of classification of multi-class examples. Each neuron tends to distinguish, from the examples, two groups of examples approximating as well as possible to a division into two predetermined groups of classes. This division can be obtained through a principal component analysis of the distribution of examples. The neural network comprises a directory of addresses of successor neurons which is loaded in learning mode then read in exploitation mode. A memory stores example classes associated with the ends of the branches of the tree.

대표청구항 ▼

A method of classifying a group of non-homogenous data into K homogenous classes implemented in a neural network device including at least one processing element, having a classification coefficient, comprising the steps of: a) dividing said group of non-homogeneous data into two subgroups of data; b) generating a classification coefficient for said processing element to divide said group of non-homogeneous data in accordance with said two subgroups of data; c) testing the homogeneity of each of said two subgroups to determine if each subgroup contains only a single class; d) storing a location of said processing element and recording said homogeneous class of said group of data when said processing element distinguishes said single class; e) if said subgroup is non-homogeneous, dividing said homogeneous subgroup into two further subgroups by performing step a) and generating a second processing element for each non-homogeneous subgroup; and f) repeating steps a)-d) until said further subgroups of data are classified by each of said successive processing elements correspond to a homogeneous class.

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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

내보내기 구분	파일저장 인쇄 메일전송
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Classification procedure implemented in a hierarchical neural network, and hierarchical neural network 원문보기

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Classification procedure implemented in a hierarchical neural network, and hierarchical neural network 원문보기

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