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Titolo:
Evaluation of recognition ability and inside parameters for a rotation spreading associative neural network
Autore:
Nakamura, K; Yoshikawa, T;
Indirizzi:
Toyama Prefectural Univ, Grad Sch Engn, Toyama 9390398, Japan Toyama Prefectural Univ Toyama Japan 9390398 Engn, Toyama 9390398, Japan
Titolo Testata:
ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE
fascicolo: 10, volume: 84, anno: 2001,
pagine: 1 - 14
SICI:
1042-0967(2001)84:10<1:EORAAI>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
POSTERIOR PARIETAL CORTEX; TEMPORAL CORTEX; NEURONS; REPRESENTATION; OBJECTS; MEMORY; MONKEY;
Keywords:
number of learning directions; number of spreading directions; spreading range;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
27
Recensione:
Indirizzi per estratti:
Indirizzo: Nakamura, K Toyama Prefectural Univ, Grad Sch Engn, Toyama 9390398, Japan Toyama Prefectural Univ Toyama Japan 9390398 9390398, Japan
Citazione:
K. Nakamura e T. Yoshikawa, "Evaluation of recognition ability and inside parameters for a rotation spreading associative neural network", ELEC C JP 3, 84(10), 2001, pp. 1-14

Abstract

Focusing on the parietal cortex, we have previously proposed a spreading associative neural network that could simultaneously recognize the orientation acid shape of a binary character and a gray-scaled human face. We evaluated the recognition performance of the spreading associative neural networkwhen the number of learning directions, number of spreading directions, and spreading range were varied. We searched for the optimal parameters of this neural net to obtain the best recognition performance based on the present evaluation. In general, the recognition performance was improved when the number of spreading directions was greater than (or equal to) the number of learning directions and the spreading range equaled the nonlearned range. Giving consideration to the results of recognition characteristics and learning and recognition time, it is suggested that the number of learning directions should be equal to the number of spreading directions. (C) 2001 Scripta Technica.

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Documento generato il 04/04/20 alle ore 07:42:53