메뉴 건너뛰기




Volumn 16, Issue 1, 2010, Pages 21-32

IRFAM: Integrated Rule-Based Fuzzy Adaptive Resonance Theory Mapping System for Watershed Modeling

Author keywords

Adaptive resonance theory; Fuzzy; Hydrological modeling; IRFAM; Rule based; Watershed classification

Indexed keywords

ADAPTIVE RESONANCE THEORY; FUZZY; HYDROLOGICAL MODELING; IRFAM; RULE BASED; WATERSHED CLASSIFICATION;

EID: 78650282793     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000285     Document Type: Article
Times cited : (14)

References (31)
  • 1
    • 78650272616 scopus 로고    scopus 로고
    • A method for adaptation of vigilance factor and choice parameters in fuzzy ART system
    • ITRCTehranIran.
    • Bahri P. Meybodi M.R. A method for adaptation of vigilance factor and choice parameters in fuzzy ART system. Proc 7th Iranian Conf. on Electrical Engineering 199917-27. and ITRCTehranIran.
    • (1999) Proc.7th Iranian Conf. on Electrical Engineering , pp. 17-27
    • Bahri, P.1    Meybodi, M.R.2
  • 3
    • 0026923589 scopus 로고
    • Fuzzy ARTMap: A neural network architecture for incremental supervised learning of analog multidimensional maps
    • ITNNEP1045-922710.1109/72.159059
    • Carpenter G.A. Grossberg S. Markuzon N. Reynolds J.H. Rosen D.B. Fuzzy ARTMap: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Trans. Neural Netw. 19923:698-713. ITNNEP1045-922710.1109/72.159059and.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , pp. 698-713
    • Carpenter, G.A.1    Grossberg, S.2    Markuzon, N.3    Reynolds, J.H.4    Rosen, D.B.5
  • 4
    • 0026408256 scopus 로고
    • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • NNETEB0893-608010.1016/0893-6080(91)90056-B
    • Carpenter G.A. Grossberg S. Rosen D.B. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 19914:759-771. NNETEB0893-608010.1016/0893-6080(91)90056-Band.
    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3
  • 5
    • 45349101391 scopus 로고    scopus 로고
    • Climate change and pesticide losses in watershed systems: A simulation modeling study
    • ITNNEP.
    • Chen B. Climate change and pesticide losses in watershed systems: A simulation modeling study. J. Environ. Inform. 200710(2):55-67. ITNNEP.
    • (2007) J. Environ. Inform. , vol.10 , Issue.2 , pp. 55-67
    • Chen, B.1
  • 6
    • 67349092465 scopus 로고    scopus 로고
    • Health-impact risk assessment for river pollution through a modified contaminant transport model
    • Chen B. Health-impact risk assessment for river pollution through a modified contaminant transport model. WaterAirSoil Pollut. 2008200(1-4):323-339.
    • (2008) WaterAirSoil Pollut. , vol.200 , pp. 323-339
    • Chen, B.1
  • 7
    • 0027525734 scopus 로고
    • Artificial neural networks for land cover classification and mapping
    • IJGSE30269-379810.1080/02693799308901949.
    • Civco D.L. Artificial neural networks for land cover classification and mapping. Int. J. Geogr. Inf. Syst. 19937(2):173-186. IJGSE30269-379810.1080/02693799308901949.
    • (1993) Int. J. Geogr. Inf. Syst. , vol.7 , Issue.2 , pp. 173-186
    • Civco, D.L.1
  • 9
    • 0029478734 scopus 로고
    • Land cover classification by an artificial neural network with ancillary information
    • IJGSE30269-379810.1080/02693799508902054.
    • Foody G.M. Land cover classification by an artificial neural network with ancillary information. Int. J. Geogr. Inf. Syst. 19959(5):527-542. IJGSE30269-379810.1080/02693799508902054.
    • (1995) Int. J. Geogr. Inf. Syst. , vol.9 , Issue.5 , pp. 527-542
    • Foody, G.M.1
  • 10
    • 0034814349 scopus 로고    scopus 로고
    • Estimation and mapping of forest stand densityvolumeand cover type using the k-nearest neighbors method
    • RSEEA70034-425710.1016/S0034-4257(01)00209-7
    • Franco-Lopez H. Ek A.R. Bauer M.E. Estimation and mapping of forest stand densityvolumeand cover type using the k-nearest neighbors method. Remote Sens. Environ. 200177(3):251-274. RSEEA70034-425710.1016/S0034-4257(01)00209-7and.
    • (2001) Remote Sens. Environ. , vol.77 , Issue.3 , pp. 251-274
    • Franco-Lopez, H.1    Ek, A.R.2    Bauer, M.E.3
  • 11
    • 0033080043 scopus 로고    scopus 로고
    • Fuzzy ARTMap classification of global land cover from the 1 degree AVHRR data set
    • RSEEA70034-425710.1016/S0034-4257(98)00088-1
    • Gopal S. Woodcock C.E. Strahler A.H. Fuzzy ARTMap classification of global land cover from the 1 degree AVHRR data set. Remote Sens. Environ. 199967:230-243. RSEEA70034-425710.1016/S0034-4257(98)00088-1and.
    • (1999) Remote Sens. Environ. , vol.67 , pp. 230-243
    • Gopal, S.1    Woodcock, C.E.2    Strahler, A.H.3
  • 12
    • 0017120827 scopus 로고
    • Adaptive pattern classification and universal recoding. I: Parallel development and coding of neural feature detectors
    • BICYAF0340-120010.1007/BF00344744.
    • Grossberg S. Adaptive pattern classification and universal recoding. I: Parallel development and coding of neural feature detectors. Biol. Cybern. 197623:121-134. BICYAF0340-120010.1007/BF00344744.
    • (1976) Biol. Cybern. , vol.23 , pp. 121-134
    • Grossberg, S.1
  • 13
    • 0019189518 scopus 로고
    • Intracellular mechanisms of adaptation and self-regulation in self-organizing networks: The role of chemical transducers
    • BMTBAP0092-8240.
    • Grossberg S. Intracellular mechanisms of adaptation and self-regulation in self-organizing networks: The role of chemical transducers. Bull. Math. Biol. 198042:365-396. BMTBAP0092-8240.
    • (1980) Bull. Math. Biol. , vol.42 , pp. 365-396
    • Grossberg, S.1
  • 14
    • 0036403084 scopus 로고    scopus 로고
    • Comparison of neuro-fuzzyneural networkand maximum likelihood classifiers for land cover classification using IKONOS multispectral data
    • IEEE InternationalPiscataway N.J.
    • Han J. Lee S. Chi K. Ryu K. Comparison of neuro-fuzzyneural networkand maximum likelihood classifiers for land cover classification using IKONOS multispectral data. Proc Geoscience and Remote Sensing Symp IGARSS '02 20026:3471-3473. and Vol. IEEE InternationalPiscatawayN.J.
    • (2002) Proc.Geoscience and Remote Sensing Symp.IGARSS '02 , vol.6 , pp. 3471-3473
    • Han, J.1    Lee, S.2    Chi, K.3    Ryu, K.4
  • 16
    • 78650277734 scopus 로고    scopus 로고
    • Field investigation and hydrological modelling of a sub-arctic wetland system by SLURP and WATFLOOD
    • MEng thesisMemorial Univ. of NewfoundlandSt. John'sNfld. and Labr Canada.
    • Jing L. Field investigation and hydrological modelling of a sub-arctic wetland system by SLURP and WATFLOOD. 2009MEng thesisMemorial Univ. of NewfoundlandSt. John'sNfld. and Labr Canada.
    • (2009)
    • Jing, L.1
  • 17
    • 0033280819 scopus 로고    scopus 로고
    • A neuro-fuzzy classifier for land cover classification
    • IEEE InternationalPiscatawayN.J
    • Lee S.G. A neuro-fuzzy classifier for land cover classification. Proc 8th IEEE Int. Conf. on Fuzzy Systems 1999 19992:1063-1068. Vol. IEEE InternationalPiscatawayN.J.
    • (1999) Proc.8th IEEE Int. Conf. on Fuzzy Systems 1999 , vol.2 , pp. 1063-1068
    • Lee, S.G.1
  • 18
    • 52649117371 scopus 로고    scopus 로고
    • General type-2 fuzzy classifiers to land cover classification
    • Association for Computing MachineryNew York.
    • Luis A.L. Tania M.C. Myriam R.D. General type-2 fuzzy classifiers to land cover classification. Proc 2008 ACM Symp. on Applied Computing 20081743-1747. and Association for Computing MachineryNew York.
    • (2008) Proc.2008 ACM Symp. on Applied Computing , pp. 1743-1747
    • Luis, A.L.1    Tania, M.C.2    Myriam, R.D.3
  • 19
    • 33750077436 scopus 로고    scopus 로고
    • Fuzzy classification of heterogeneous vegetation in a complex arid ecosystem
    • McMahan J.B. Weber K.T. Sauder J. Fuzzy classification of heterogeneous vegetation in a complex arid ecosystem. African Journal of Range and Forage Science 200320(2):726-728. and.
    • (2003) African Journal of Range and Forage Science , vol.20 , Issue.2 , pp. 726-728
    • McMahan, J.B.1    Weber, K.T.2    Sauder, J.3
  • 20
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Morgan Kaufmann.
    • Ng R.T. Han J. Efficient and effective clustering methods for spatial data mining. Proc 20th Int. Conf. VLDB '94 1994144-155. and Morgan Kaufmann.
    • (1994) Proc.20th Int. Conf. VLDB '94 , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 21
    • 62249142073 scopus 로고    scopus 로고
    • Visualization of high-dimensional clinically acquired geographic data using the self-organizing maps
    • 10.3808/jei.200900138.
    • Oyana T.J. Visualization of high-dimensional clinically acquired geographic data using the self-organizing maps. J. Environ. Inform. 200913(1):33-44. 10.3808/jei.200900138.
    • (2009) J. Environ. Inform. , vol.13 , Issue.1 , pp. 33-44
    • Oyana, T.J.1
  • 22
    • 77949862067 scopus 로고    scopus 로고
    • Risk assessment of ambient air quality by stochastic-based fuzzy approaches
    • ITNNEP
    • Ping J. Chen B. Husain T. Risk assessment of ambient air quality by stochastic-based fuzzy approaches. Environ. Eng. Sci. 201027(3):233-246. ITNNEP.
    • (2010) Environ. Eng. Sci. , vol.27 , Issue.3 , pp. 233-246
    • Ping, J.1    Chen, B.2    Husain, T.3
  • 25
    • 0028976636 scopus 로고
    • A remote sensing based vegetation classification logic for global land cover analysis
    • RSEEA70034-425710.1016/0034-4257(94)00063-S
    • Running S.W. Pierce L.L. Nemani R. Hunt E.R. Loveland T.R. A remote sensing based vegetation classification logic for global land cover analysis. Remote Sens. Environ. 199551:39-48. RSEEA70034-425710.1016/0034-4257(94)00063-Sand.
    • (1995) Remote Sens. Environ. , vol.51 , pp. 39-48
    • Running, S.W.1    Pierce, L.L.2    Nemani, R.3    Hunt, E.R.4    Loveland, T.R.5
  • 26
    • 78650275953 scopus 로고    scopus 로고
    • A comparison of sub-pixel and maximum likelihood classification of Landsat ETM+ images to detect illegal logging in the tropical rain forest of Beraueast KalimantanIndonesia
    • Malaysian Centre for Remote Sensing (MACRES)Malaysia.
    • Santosh P.B. Yousif A.H. A comparison of sub-pixel and maximum likelihood classification of Landsat ETM+ images to detect illegal logging in the tropical rain forest of Beraueast KalimantanIndonesia. Proc Map Asia 2003and Malaysian Centre for Remote Sensing (MACRES)Malaysia.
    • (2003) Proc.Map Asia
    • Santosh, P.B.1    Yousif, A.H.2
  • 29
    • 73649099834 scopus 로고    scopus 로고
    • SRFILP: A stochastic robust fuzzy interval linear programming model for municipal solid waste management under uncertainty
    • 10.3808/jei.200900155
    • Xu Y. Huang G.H. Qin X.S. Huang Y. SRFILP: A stochastic robust fuzzy interval linear programming model for municipal solid waste management under uncertainty. J. Environ. Inform. 200914(2):72-82. 10.3808/jei.200900155and.
    • (2009) J. Environ. Inform. , vol.14 , Issue.2 , pp. 72-82
    • Xu, Y.1    Huang, G.H.2    Qin, X.S.3    Huang, Y.4
  • 30
    • 0000868331 scopus 로고
    • Induction of fuzzy decision trees
    • FSSYD80165-011410.1016/0165-0114(94)00229-Z
    • Yuan Y.F. Shaw J.M. Induction of fuzzy decision trees. Fuzzy Sets Syst. 199569:125-139. FSSYD80165-011410.1016/0165-0114(94)00229-Zand.
    • (1995) Fuzzy Sets Syst. , vol.69 , pp. 125-139
    • Yuan, Y.F.1    Shaw, J.M.2
  • 31
    • 49949129142 scopus 로고
    • Fuzzy algorithms
    • IFCNA40019-995810.1016/S0019-9958(68)90211-8.
    • Zadeh L.A. Fuzzy algorithms. Inf. Control. 196812(2):94-102. IFCNA40019-995810.1016/S0019-9958(68)90211-8.
    • (1968) Inf. Control. , vol.12 , Issue.2 , pp. 94-102
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.