[특허]Clustered neural networks

Clustered neural networks 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06K-009/62
출원번호	US-0594458 (1990-10-09)
발명자 / 주소	Lincoln William P. (Simi Valley CA)
출원인 / 주소	Hughes Aircraft Company (Los Angeles CA 02)
인용정보	피인용 횟수 : 35 인용 특허 : 0

초록 ▼

A plurality of neural networks are coupled to an output neural network, or judge network, to form a clustered neural network. Each of the plurality of clustered networks comprises a supervised learning rule back-propagated neural network. Each of the clustered neural networks are trained to perform substantially the same mapping function before they are clustered. Following training, the clustered neural network computes its output by taking an “average”of the outputs of the individual neural networks that make up the cluster. The judge network combines the outputs of the plurality of individual neural networks to provide the output from the entire clustered network. In addition, the output of the judge network may be fed back to each of the individual neural networks and used as a training input thereto, in order to provide for continuous training. The use of the clustered network increases the speed of learning and results in better generalization. In addition, clustering multiple back-propagation networks provides for increased performance and fault tolerance when compared to a single unclustered network having substantially the same computational complexity. The present invention may be used in applications that are amenable to neural network solutions, including control and image processing applications. Clustering of the networks also permits the use of smaller networks and provides for improved performance. The clustering of multiple back-propagation networks provides for synergy that improves the properties of the clustered network over a comparably complex non-clustered network.

대표청구항 ▼

A clustered neural network architecture comprising: (A) a plurality of individual neural networks, each neural network having an input and an output, wherein each of the inputs are connected in common, and each neural network comprising: (a) means for receiving initial weights that are different from initial weights of others of the plurality of neural networks; (b) means for training the neural network to implement a mapping function using the received initial weights, the mapping function being the same for all of the plurality of neural networks; and (c) means for performing the mapping function in a different way than the other networks of the plurality of neural networks; and (B) an output neural network having a plurality of inputs and a single output that provides an output of the clustered neural network, and wherein the respective outputs of the plurality of individual neural networks are individually coupled to the respective plurality of inputs of the output neural network.

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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

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