[특허]Computer neural network supervisory process control system and method

Computer neural network supervisory process control system and method 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06F-015/18
출원번호	US-0562268 (1990-08-03)
발명자 / 주소	Skeirik Richard D. (Newark DE)
출원인 / 주소	E. I. du Pont de Nemours & Co. (Inc.) (Wilmington DE 02)
인용정보	피인용 횟수 : 153 인용 특허 : 0

초록 ▼

A neural network for adjusting a setpoint in process control replaces a human operator. The neural network operates in three modes: training, operation, and retraining. In operation, the neural network is trained using training input data along with input data. The input data is from the sensor(s) monitoring the process. The input data is used by the neural network to develop output data. The training input data are the setpoint adjustments made by a human operator. The output data is compared with the training input data to produce error data, which is used to adjust the weights of the neural network so as to train it. After training has been completed, the neural network enters the operation mode. In this mode, the present invention uses the input data to predict output data used to adjust the setpoint supplied to the regulatory controller. Thus, the operator is effectively replaced. The present invention in the retraining mode utilizes new training input data to retrain the neural network by adjusting the weight(s).

대표청구항 ▼

A computer neural network process control method adapted for predicting output data provided to a controller used to control a process for producing a product having at least one product property, said method allowing a control aim to be set without a human operator, the computer neural network process control method comprising the steps of: (1) operating the process with one or more sensors connected to sense process conditions and produce process condition measurements, and changing a controllable process state with an actuator, (2) controlling said actuator with a process controller in accordance with a process condition measurement from one or more of said sensors and in accordance with a setpoint; (3) configuring the neural network by specifying at least one input, at least one output, at least one training input, and at least one specified interval; (4) training the neural network to produce a trained neural network comprising the substeps of: (a) retrieving a first raw training input data; (b) retrieving a second raw training input data; (c) computing a corresponding first training input data based on said first raw training input data and said second raw training input data, said first training input data indicative of the action of a human operator of the process; (d) retrieving a first input data, (e) predicting a first output data using said first input data, (f) computing a first error data in accordance with said first training input data and said first output data, and (g) training the neural network to produce said trained neural network in accordance with said first error data; (5) at said at least one specified interval, retrieving a second input data and predicting, with said trained neural network, second output data using said second input data; and (6) retrieving said second output data for changing a setpoint of the controller for controlling the process.

이 특허를 인용한 특허 (153)

Ralf Neuneier DE; Hans-Georg Zimmermann DE, ASSEMBLY OF INTERCONNECTED COMPUTING ELEMENTS, METHOD FOR COMPUTER-ASSISTED DETERMINATION OF A DYNAMICS WHICH IS THE BASE OF A DYNAMIC PROCESS, AND METHOD FOR COMPUTER-ASSISTED TRAINING OF AN ASSEMBL.
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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)
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Computer neural network supervisory process control system and method 원문보기

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