[특허]Embedding neural networks into spreadsheet applications

Embedding neural networks into spreadsheet applications 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06F-015/18
출원번호	US-0637301 (1991-01-03)
발명자 / 주소	Ruggiero Murray (New Haven CT)
출원인 / 주소	Promised Land Technologies, Inc. (New Haven CT 02)
인용정보	피인용 횟수 : 54 인용 특허 : 0

초록 ▼

The present invention relates to a method of embedding a neural network into an application program such as a spreadsheet program. The method comprises providing an application program in which information is stored in rows and columns or a database containing fields and records and embedding a neural network in the application program or database using the stored information. The embedding step includes allocating unused memory in the application program and creating both a neural network engine and an application interface structure from the unused memory. Once the neural network engine and an application interface structure have been created, the neural network may be trained using variable numerical and symbolic data stored within the application program. Once training is completed, the neural network is ready for use, merely by using a recall function built into the applications program.

대표청구항 ▼

A method for incorporating a neural network into an application program and using said network, said method comprising: providing an applications program in which information is stored; embedding a neural network in said applications program using said stored information; said embedding step comprising allocating unused memory in said applications program and creating a neural network engine and an application interface structure from said allocated unused memory; and training said neural network utilizing variable numeric and symbolic data stored within said applications program, said training step including preparing said numeric variable data by storing in said interface structure for each numerical variable, a maximum possible value, a minimum possible value, a column location, a starting row location, information on the type of variable and a desired number of training patterns.

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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
구성항목	기본정보 상세정보 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표IPC 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 공고번호, 공고일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표출원인, 출원인국적, 출원인주소, 발명자, 발명자E, 발명자코드, 발명자주소, 발명자 우편번호, 발명자국적, 대표IPC, IPC코드, 요약, 미국특허분류, 대리인주소, 대리인코드, 대리인(한글), 대리인(영문), 국제공개일자, 국제공개번호, 국제출원일자, 국제출원번호, 우선권, 우선권주장일, 우선권국가, 우선권출원번호, 원출원일자, 원출원번호, 지정국, Citing Patents, Cited Patents
저장형식	Text(ASCII format) Excel format PIAS분석(.xls)
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

Embedding neural networks into spreadsheet applications 원문보기

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대표청구항 ▼

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Embedding neural networks into spreadsheet applications 원문보기

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대표청구항 ▼

연구과제 타임라인

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