Skip to main navigation
Skip to search
Skip to main content
PolyU Scholars Hub Home
Help & FAQ
Link opens in a new tab
Search content at PolyU Scholars Hub
Home
Researchers
Units
Research output
Prizes
Activities
Press/Media
Student theses
Prediction of rainfall time series using modular soft computingmethods
C. L. Wu
, Kwok Wing Chau
The Hong Kong Polytechnic University
Department of Civil and Environmental Engineering
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
281
Link opens in a new tab
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Prediction of rainfall time series using modular soft computingmethods'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Artificial Neural Network
100%
Rainfall Time Series
100%
Rainfall Prediction
100%
Moving Average
50%
Modular Model
50%
Training Data
37%
Least Squares Support Vector Regression (LSSVR)
37%
Daily Rainfall
37%
Singular Spectrum Analysis
37%
Level Subsets
37%
Preprocessing Techniques
25%
Monthly Rainfall
25%
Rainfall Simulation
25%
Artificial Neural Network Model
12%
Crisps
12%
Data Preprocessing
12%
Local Support Vector Regression (local SVR)
12%
Rainfall Forecasting
12%
Rainfall Forecast
12%
Soft Computing Techniques
12%
Parallel Information Processing
12%
Persistence Method
12%
Modular Modeling
12%
Network Support
12%
Data Preprocessing Technique
12%
Rainfall Records
12%
Computer Science
Neural Network
100%
Moving Average
44%
Support Vector Regression
33%
Training Data
33%
Singular Spectrum
33%
Data Preprocessing
22%
Neural Network Model
11%
Comparison Result
11%
Soft Computing
11%
Preprocessing Technique
11%
Information Processing
11%
Engineering
Artificial Neural Network
100%
Moving Average
57%
Singular Spectrum
42%
Support Vector Machine
42%
Data Preprocessing
28%
Lead Time
14%
Artificial Neural Network Model
14%
Network Support
14%
Earth and Planetary Sciences
Time Series
100%
Artificial Neural Network
100%
Spectrum Analysis
33%
Support Vector Machine
33%
Information Processing
11%
Mathematics
Neural Network
100%
Moving Average
44%
Support Vector Machine
33%
Training Data
33%
Regression Model
11%
Crisp Subset
11%
Neuroscience
Neural Network
100%
Information Processing
11%