[특허]Neural network apparatus and method for pattern recognition

Neural network apparatus and method for pattern recognition 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06K-009/00
출원번호	US-0516753 (1990-04-30)
발명자 / 주소	Khan Emdadur R. (San Jose CA)
출원인 / 주소	National Semiconductor Corporation (Santa Clara CA 02)
인용정보	피인용 횟수 : 29 인용 특허 : 0

초록 ▼

A self-organizing neural network having input and output neurons mutually coupled via bottom-up and top-down adaptive weight matrics performs pattern recognition while using substantially fewer neurons and being substantially immune from pattern distortion or rotation. The network is first trained in accordance with the adaptive resonance theory by inputting reference pattern data into the input neurons for clustering within the output neurons. The input neurons then receive subject pattern data which are transferred via a bottom-up adaptive weight matrix to a set of output neurons. Vigilance testing is performed and multiple computed vigilance parameters are generated. A predetermined, but selectively variable, reference vigilance parameter is compared individually against each computed vigilance parameter and adjusted with each comparison until each computed vigilance parameter equals or exceeds the adjusted reference vigilance parameter, thereby producing an adjusted reference vigilance parameter for each output neuron. The input pattern is classified according to the output neuron corresponding to the maximum adjusted reference vigilance parameter. Alternatively, the original computed vigilance parameters can be used by classifying the input pattern according to the output neuron corresponding to the maximum computer vigilance parameter.

대표청구항 ▼

An improved self-organizing neural network coupled to perform adaptive pattern recognition in accordance with adaptive resonance theory, said neural network comprising a plurality of input neurons coupled to accept input pattern data representing a pattern, a plurality of output neurons, a bottom-up adaptive weight matrix coupling said input neurons to said output neurons, a top-down adaptive weight matrix coupling said output neurons to said input neurons, and vigilance parameter computing means for computing a plurality of vigilance parameters based substantially upon said input pattern data, said improvement comprising: memory means for storing said plurality of computed vigilance parameters; and pattern classification means for classifying said pattern according to the maximum computed vigilance parameter among said plurality of computed vigilance parameters.

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A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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Neural network apparatus and method for pattern recognition 원문보기

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Neural network apparatus and method for pattern recognition 원문보기

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