A forecasting model of RBF neural network based on genetic algorithms optimization

2011 ◽  
Author(s):  
Yumin Pan ◽  
Weining Xue ◽  
Quanzhu Zhang ◽  
Liyong Zhao
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Rbf Neural Network ◽  
Forecasting Model

scholarly journals Using pruning algorithms and genetic algorithms to optimise network architectures and forecasting inputs in a neural network rainfall-runoff model

1999 ◽  
Vol 1 (2) ◽  
pp. 103-114 ◽  
Author(s):  
Robert J. Abrahart ◽  
Linda See ◽  
Pauline E. Kneale
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Design Tool ◽  
Forecasting Model ◽  
Network Architectures ◽  
Rainfall Runoff ◽  
Small Catchment ◽  
Pruning Algorithms ◽  
Rainfall Runoff Model ◽  
Runoff Model

Four design tool procedures are examined to create improved neural network architectures for forecasting runoff from a small catchment. Different algorithms are used to remove nodes and connections so as to produce an optimised forecasting model, thereby reducing computational expense without loss in performance. The results also highlight issues in selecting analytical methods to compare outputs from different forecasting procedures.

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