Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness.
Md. Mehedi HassanMohammad Abu Tareq RonyMd. Asif Rakib KhanMd. Mahedi HassanFarhana YasminAnindya NagTazria Helal ZarinAnupam Kumar BairagiSamah AlshathriWalid El-ShafaiPublished in: IEEE Access (2023)
Keyphrases
- prediction model
- machine learning
- grey model
- financial time series
- prediction accuracy
- exponential smoothing
- machine learning methods
- data mining
- weather forecasting
- predictive model
- stock market prediction
- rainfall runoff
- neural network
- meteorological data
- early warning
- learning algorithm
- pattern recognition
- machine learning algorithms
- computer vision
- weather prediction
- failure prediction
- natural language processing
- model selection
- knowledge acquisition
- short term
- text classification
- regression model
- chaotic time series
- inductive logic programming
- load forecasting
- knowledge representation
- support vector machine
- climate change
- predictive modeling
- homeland security
- arima model
- data analysis
- supervised learning
- decision trees
- explanation based learning
- feature selection
- bp neural network
- short term prediction
- learning tasks