[특허]Neural network with back propagation controlled through an output confidence measure

Neural network with back propagation controlled through an output confidence measure 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06K-009/66
출원번호	US-0520334 (1990-05-07)
발명자 / 주소	Gaborski Roger S. (Pittsford NY)
출원인 / 주소	Eastman Kodak Company (Rochester NY 02)
인용정보	피인용 횟수 : 78 인용 특허 : 0

초록 ▼

Apparatus, and an accompanying method, for a neural network, particularly one suited for use in optical character recognition (OCR) systems, which through controlling back propagation and adjustment of neural weight and bias values through an output confidence measure, smoothly, rapidly and accurately adapts its response to actual changing input data (characters). Specifically, the results of appropriate actual unknown input characters, which have been recognized with an output confidence measure that lies within a pre-defined range, are used to adaptively re-train the network during pattern recognition. By limiting the maximum value of the output confidence measure at which this re-training will occur, the network re-trains itself only when the input characters have changed by a sufficient margin from initial training data such that this re-training is likely to produce a subsequent noticeable increase in the recognition accuracy provided by the network. Output confidence is measured as a ratio between the highest and next highest values produced by output neurons in the network. By broadening the entire base of training data to include actual dynamically changing input characters, the inventive neural network provides more robust performance than which heretofore occurs in neural networks known in the art.

대표청구항 ▼

Apparatus for recognizing the existence of a plurality of patterns in unknown input data comprising: network means, responsive to unknown input data, for producing a plurality of output values that collectively identifies one of said patterns existing in said unknown input data, said network means having a plurality of numeric weights associated therewith; means, responsive to a control signal and to said plurality of output values and pre-defined output target values associated therewith for said one pattern, for determining changes in the value of each of said numeric weights and, in response thereto, for adjusting a value of each of said weights while said unknown input data is applied to said network means so as reduce error arising between said output values and said output target values for the unknown input data; means, responsive to said plurality of output values, for determining a confidence measure associated therewith; and means, responsive to said confidence measure, for generating said control signal so as to enable said determining and adjusting means during pattern recognition to determine said changes and adjust the values of said weights when said confidence measure has a numeric value lying within a pre-defined numeric range so that network training does not occur during pattern recognition whenenver the confidence measure associated with the output values produced for said one pattern is either greater or less than said numeric range whereby said network means is trained to recognize said pattern in the event the pattern deviates from a pre-defined pattern.

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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
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A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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연합인증

Neural network with back propagation controlled through an output confidence measure 원문보기

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Neural network with back propagation controlled through an output confidence measure 원문보기

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