MLA
Zhao, Zichen, and Guanzhou Hou. "U.S. Unemployment Rate Prediction by Economic Indices in the COVID-19 Pandemic Using Neural Network, Random Forest, and Generalized Linear Regression." Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning, edited by Richard S. Segall and Gao Niu, IGI Global, 2022, pp. 263-284. https://doi.org/10.4018/978-1-7998-8455-2.ch010
APA
Zhao, Z. & Hou, G. (2022). U.S. Unemployment Rate Prediction by Economic Indices in the COVID-19 Pandemic Using Neural Network, Random Forest, and Generalized Linear Regression. In R. Segall & G. Niu (Eds.), Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning (pp. 263-284). IGI Global. https://doi.org/10.4018/978-1-7998-8455-2.ch010
Chicago
Zhao, Zichen, and Guanzhou Hou. "U.S. Unemployment Rate Prediction by Economic Indices in the COVID-19 Pandemic Using Neural Network, Random Forest, and Generalized Linear Regression." In Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning, edited by Richard S. Segall and Gao Niu, 263-284. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8455-2.ch010
Export Reference