메뉴 건너뛰기




Volumn 146, Issue 1-3, 2001, Pages 85-96

Forecasting cyanobacterium Anabaena spp. in the River Murray, South Australia, using B-spline neurofuzzy models

Author keywords

B spline associative memory network; Cyanobacteria (Blue Green Algae); Forecasting; Fuzzy neural network; Water quality

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CYANOBACTERIUM; ECOLOGICAL MODELING; FUZZY MATHEMATICS; WATER QUALITY;

EID: 0035669543     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(01)00298-8     Document Type: Article
Times cited : (33)

References (29)
  • 8
    • 0000809163 scopus 로고    scopus 로고
    • Nonlinear modelling and prediction with feedforward and recurrent networks
    • (1997) Physica D , vol.108 , Issue.1-2 , pp. 119-134
    • Gentçay, R.1    Liu, T.2
  • 9
    • 84947630316 scopus 로고
    • ASMOD - An algorithm for adaptive spline modeling of observation data
    • (1993) Int. J. Control , vol.58 , Issue.4 , pp. 947-967
    • Kavli, T.1
  • 15
  • 22
    • 0007716699 scopus 로고    scopus 로고
    • NCS, 1997. Getting started
  • 24
    • 0031591149 scopus 로고    scopus 로고
    • Prediction of functional characteristics of ecosystems-a comparison of artificial neural networks and regression models
    • (1997) Ecol. Model. , vol.98 , Issue.2-3 , pp. 173-186
    • Paruelo, J.M.1    Tomasel, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.