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COVID-19 Prediction

Application of Machine Learning Methods

Course: TechArt Research Project - Applications of Machine Learning and Big Data Analysis in Urban Planning/Design
Instructor: Hao Zheng
Individual Work
Date: June - Aug., 2020

In recent years, the rise of artificial intelligence has brought a wide range of influences to various fields, and applied research on machine learning has also been carried out in the field of urban design and analysis.

 

Because urban data usually has a high degree of spatial correlation, and the parameters affecting the urban model are mostly highly complex nonlinear relationships, the convolutional neural networks used to deal with computer vision problems have great advantages in dealing with urban data, worthy of in-depth study and research. At the same time, the quantity and quality of data reflecting the daily life and development of cities have also shown explosive growth, which provides indispensable conditions for the application of machine learning models to study and understand urban challenges.

KEYWORDS:
Big Data, Artificial Intelligence, Machine Learning, Deep Learning, COVID-19, Urban Planning/Design

OBJECTIVES

This project provides the application of concrete learning artificial intelligence models, especially convolutional neural networks, to the task of analyzing urban data. Through hands-on operation, in-depth exploration and understanding of urban challenges applied by different algorithms, the project also aims to motivate students not only to learn the application of existing artificial intelligence models, but also to design and develop innovative models for deciphering specific urban challenges.

Research Article
 

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APPENDIX

- Correlation_model_contrast 
View .ipynb
- Prediction_model_regression  View .ipynb
- Prediction_model_classification  View .ipynb
- Prediction_model_ANN_modify  View .ipynb

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