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SVR-based prediction of evaporation combined with chaotic approach
Özlem Baydaroǧlu
*
,
Kasim Koçak
*
Corresponding author for this work
Department of Meteorological Engineering
Istanbul Technical University
Research output
:
Contribution to journal
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Article
›
peer-review
66
Citations (Scopus)
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Keyphrases
Least Squares Support Vector Regression (LSSVR)
100%
Chaotic Approach
100%
Regression Prediction
100%
Kernel Function
28%
Univariate Time Series
28%
Multivariate Time Series
28%
Time Series Embeddings
28%
Artificial Neural Network
14%
Water Loss
14%
Radial Basis Function
14%
Humidity
14%
Effective Method
14%
Support Vector Machine
14%
Coefficient of Determination
14%
Wind Speed
14%
Feature Space
14%
Solar Radiation
14%
Evaporation Temperature
14%
Linear Regression
14%
Generalization Ability
14%
Input Space
14%
Autoregressive Integrated Moving Average (ARIMA)
14%
Phase Space Reconstruction
14%
Observation Vector
14%
Modern Methods
14%
Embedding Method
14%
Regression Phase
14%
Group Method of Data Handling
14%
Multidimensional Feature Space
14%
Diver
14%
Computer Science
Support Vector Regression
100%
Feature Space
28%
Kernel Function
28%
Multivariate Time Series
28%
Support Vector Machine
14%
Embedding Method
14%
Radial Basis Function
14%
Effective Method
14%
Data Handling
14%
Moving Average
14%
Relative Humidity
14%
Observation Vector
14%
Artificial Neural Network
14%
Engineering
Support Vector Machine
100%
Feature Space
25%
Input Data
12%
Radial Basis Function
12%
Solar Radiation
12%
Relative Humidity
12%
Moving Average
12%
Input Space
12%
Observation Vector
12%
Evaporation Temperature
12%
Phase Space
12%
Artificial Neural Network
12%
Mathematics
Support Vector Machine
100%
Feature Space
25%
Basis Function
12%
Phase Space
12%
Determination Coefficient
12%
Autoregressive Integrated Moving Average
12%
Input Data
12%
Observation Vector
12%
Linear Regression Analysis
12%
Wind Velocity
12%
Wind Speed
12%
Artificial Neural Network
12%
Medicine and Dentistry
Time Series Analysis
100%
Linear Regression Analysis
33%
Flexibility
33%
Water Loss
33%