Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods

Keyphrases

• Wavelet Basis 100%
• Machine Learning Techniques 100%
• Bosphorus Strait 100%
• Sea-level Fluctuations 100%
• Support Vector Machine 66%
• K-nearest 66%
• Prediction Accuracy 33%
• Performance Prediction 33%
• Standardization Process 33%
• Discrete Wavelet Transform 33%
• Decision Tree Method 33%
• Decision Tree Model 33%
• Machine Learning Models 33%
• Root Mean Square Error 33%
• Modeling Strategy 33%
• Regression Techniques 33%
• Coastal Engineering 33%
• Information Transfer 33%
• Monitoring Service 33%
• Classical Regression 33%
• Nash-Sutcliffe Efficiency 33%
• Decomposition Process 33%
• Time Series Information 33%
• Efficiency Indicators 33%
• Deterministic Processes 33%
• Multivariate Linear Regression 33%
• Neighborhood Model 33%
• Neighbor-joining Tree 33%
• Limited Monitoring 33%

Engineering

• Machine Learning Method 100%
• Support Vector Machine 100%
• Nearest Neighbor 100%
• Model Tree 50%
• Lead Time 50%
• Modeling Strategy 50%
• Regression Technique 50%
• Coastal Engineering 50%
• Accurate Prediction 50%
• Root Mean Square Error 50%
• Prediction Performance 50%
• Sutcliffe 50%
• Decomposition Process 50%
• Standardization Process 50%
• Regional Scale 50%
• Efficiency Indicator 50%
• Learning System 50%

Chemical Engineering

• Learning System 100%
• Support Vector Machine 66%