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Radial basis function network for prediction of hydrological time series
A. W. JAYAWARDENA
, Pengcheng XU
,
Wai Keung LI
Department of Mathematics and Information Technology (MIT)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapters
1
Citation (Scopus)
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Keyphrases
Copyright
33%
Evolutionary Equations
33%
Field Width
33%
Generalized Degrees of Freedom
33%
Hydrological Science
33%
Hydrological Time Series
100%
Hydrometeorological Data
33%
International Association
33%
Least Square Method
33%
Linear Weights
66%
Mapping Function
33%
Output Layer
33%
Radial Basis Function
100%
Radial Basis Function Neural Network (RBFNN)
100%
Receptive Field
66%
Time Series Forecasting
33%
Engineering
Actual Value
33%
Degree of Freedom
33%
Least Square
33%
Mapping Function
33%
Output Layer
33%
Radial Basis Function
100%
Radial Basis Function Network
100%
Receptive Field
66%
Square Method
33%
Agricultural and Biological Sciences
Evolution
100%
Least Square
100%