首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Effect of model formulation on the optimization of a genetic Takagi-Sugeno fuzzy system for fish habitat suitability evaluation
Authors:Shinji Fukuda  Bernard De BaetsAns M Mouton  Willem WaegemanJun Nakajima  Takahiko MukaiKazuaki Hiramatsu  Norio Onikura
Institution:a Institute of Tropical Agriculture, Kyushu University, 6-10-1 Hakozaki, Fukuoka 812-8581, Japan
b KERMIT, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, Ghent 9000, Belgium
c Research Institute for Nature and Forest (INBO), Kliniekstraat 25, 1070 Brussels, Belgium
d Fukuoka Institute of Health and Environmental Sciences, 39 Mukaizano, Dazaifu, Fukuoka 818-0135, Japan
e Faculty of Regional Studies, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan
f Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Fukuoka 812-8581, Japan
g Fishery Research Laboratory, Kyushu University, 2506 Tsuyazaki, Fukutsu, Fukuoka 811-3304, Japan
Abstract:
Keywords:SDMs  species distribution models  GLMs  generalized linear models  GAMs  generalized additive models  ANNs  artificial neural networks  MAXENT  maximum entropy  SVMs  support vector machines  GAs  genetic algorithms  GARP  genetic algorithm for rule-set production  HSI  habitat suitability index  HSC  habitat suitability curve  FHPM  fuzzy habitat preference model  MSE  mean squared error  GPS  global positioning system  DEM  digital elevation model  CV  cross validation  AUC  area under the receiver operating characteristics curve  ROC  receiver operating characteristics  MDT  minimization of the absolute sensitivity-specificity difference threshold  MST  maximization of the sensitivity-specificity sum threshold  TPR  true positive rate  TNR  true negative rate  TP  true positive  TN  true negative  FP  false positive  FN  false negative  CCI  correctly classified instances  TSS  true skill statistic
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号