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Volumn 123, Issue 4, 2003, Pages 817-822

Neuro Rainfall Forecast with Data Mining by Real-Coded Genetical Preprocessing

Author keywords

Neural Network; Rainfall Forecast; Real coded GA

Indexed keywords


EID: 8344279743     PISSN: 03854221     EISSN: 13488155     Source Type: Journal    
DOI: 10.1541/ieejeiss.123.817     Document Type: Article
Times cited : (7)

References (7)
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    • (in Japanese)
    • Y. Mitsukura, M. Fukurni, and N. Akamatsu: “Fog Occurrcncc Forecast by Using LVQ with a Genetical Preprocessing”. Trans IEE Japan, Vol. 120-C, No. 12, pp. 2055-2061 (2000-12)(in Japanese)
    • (2000) Trans IEE Japan , vol.120 C , Issue.12 , pp. 2055-2061
    • Mitsukura, Y.1    Fukurni, M.2    Akamatsu, N.3
  • 2
    • 85024713045 scopus 로고
    • The meleorogical prediction ability on The hierarchical neural network
    • (in Japanese)
    • H. Nakayama, N. Abe, and S. Hattori: “The meleorogical prediction ability on The hierarchical neural network”. Tecnical Report of lElCE, NC92-10, pp. 67-74 (1992)(in Japanese)
    • (1992) Tecnical Report of lElCE, NC92-10 , pp. 67-74
    • Nakayama, H.1    Abe, N.2    Hattori, S.3
  • 3
    • 85024730950 scopus 로고    scopus 로고
    • Knowledge Insertion and Rule Extraction in Neural Networks
    • (in Japanese)
    • M. Fukumi and Y Mitsukura: “Knowledge Insertion and Rule Extraction in Neural Networks”. S2PATJ, Vol. 12, pp. 13-18 (2001-12)(in Japanese)
    • (2001) S2PATJ , vol.12 , pp. 13-18
    • Fukumi, M.1    Mitsukura, Y.2
  • 4
    • 85024733526 scopus 로고
    • Rainfall ami Snowfall Prediction from Images of Weather Radar by using Nwural Network Model
    • (in Japanese)
    • K. Ochiai, H. Suzuki, K. Shinozawa, M. Fujii, and N. Sonehara: “Rainfall ami Snowfall Prediction from Images of Weather Radar by using Nwural Network Model”. Tecnical Report of lEICE, NC95-15, pp. 111-118 (1995-5)(in Japanese)
    • (1995) Tecnical Report of lEICE, NC95-15 , pp. 111-118
    • Ochiai, K.1    Suzuki, H.2    Shinozawa, K.3    Fujii, M.4    Sonehara, N.5
  • 5
    • 0016355478 scopus 로고
    • A New Look at the Statistical Model Identification
    • H. Akaikc: “A New Look at the Statistical Model Identification”. IEEE T. on Automatic Control, Vol. AC-19, No. 6, pp. 716-723(1974)
    • (1974) IEEE T. on Automatic Control , vol.AC-19 , Issue.6 , pp. 716-723
    • Akaikc, H.1
  • 6
    • 85007825908 scopus 로고
    • Input Layer Optimization of Neural Networks by Sensitivity Analysis and its Application to Recognition of Numerals
    • (in Japanese)
    • H. Takcnaga, S. Abe, M. Takatoo, M. Kayarna, T. Kitamura, and Y. Okuyama: “Input Layer Optimization of Neural Networks by Sensitivity Analysis and its Application to Recognition of Numerals”. T. IEE Japan, Vol. 111-D, No. 1, pp. 36-44(1991-1) (in Japanese)
    • (1991) T. IEE Japan , vol.111 D , Issue.1 , pp. 36-44
    • Takcnaga, H.1    Abe, S.2    Takatoo, M.3    Kayarna, M.4    Kitamura, T.5    Okuyama, Y.6
  • 7
    • 85024739787 scopus 로고    scopus 로고
    • A Genetic Algorithm with Deterministic Mutation Based on Neural Network Learning
    • (in Japanese)
    • M. Fukumi, N. Akamalsu: “A Genetic Algorithm with Deterministic Mutation Based on Neural Network Learning”. IEICE, VoI.J8O-D-II, pp. 2800-2807(1997)(in Japanese)
    • (1997) IEICE , vol.J8O-D-II , pp. 2800-2807
    • Fukumi, M.1    Akamalsu, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.