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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제13권 제2호
- 발행연도
- 2017.1
- 수록면
- 215 - 235 (21page)
이용수
초록· 키워드
오류제보하기
Foraging is a biological process, where a bacterium moves to search for nutriments, and avoids harmful substances. This paper proposes a hybrid approach integrating the bacterial foraging optimization algorithm (BFOA) in a radial basis function neural network, applied to image classification, in order to improve the classification rate and the objective function value. At the beginning, the proposed approach is presented and described. Then its performance is studied with an accent on the variation of the number of bacteria in the population, the number of reproduction steps, the number of elimination-dispersal steps and the number of chemotactic steps of bacteria. By using various values of BFOA parameters, and after different tests, it is found that the proposed hybrid approach is very robust and efficient for several-image classification.
목차
등록된 정보가 없습니다.
참고문헌 (21)
참고문헌 신청
[학술지(정기간행물)]
A. Biswas / 2010 / Analysis of the reproduction operator in an artificial bacterial foraging system / Applied Mathematics and Computation 215 (9) : 3343 ~ 3355
D. H. Kim / 2007 / A hybrid genetic algorithm and bacterial foraging approach for global optimization and robust tuning of PID Controller with Disturbance Rejection / Informa
G. Mahapatra / 2013 / A study of bacterial foraging optimization algorithm and its applications to solve simultaneous equations / International Journal of Computer Applicati
J. Holmstrom / 2002 / Growing Neural Gas, Experiments with GNG, GNG with Utility and Supervised GNG / M.S / Uppsala University
A. Biswas / 2010 / Analysis of the reproduction operator in an artificial bacterial foraging system / Applied Mathematics and Computation 215 (9) : 3343 ~ 3355
D. H. Kim / 2007 / A hybrid genetic algorithm and bacterial foraging approach for global optimization and robust tuning of PID Controller with Disturbance Rejection / Informa
G. Mahapatra / 2013 / A study of bacterial foraging optimization algorithm and its applications to solve simultaneous equations / International Journal of Computer Applicati
J. Holmstrom / 2002 / Growing Neural Gas, Experiments with GNG, GNG with Utility and Supervised GNG / M.S / Uppsala University
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