Support Vector Machine-Based Nonlinear Model and Its Application in Regional Economic Forecasting | Zendy

Yili Hu | Zendy; Zhiyong Wang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Support Vector Machine-Based Nonlinear Model and Its Application in Regional Economic Forecasting

Author(s) -

Yili Hu,

Zhiyong Wang

Publication year - 2022

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2022/3387543

Subject(s) - computer science , support vector machine , construct (python library) , nonlinear system , domain (mathematical analysis) , process (computing) , economic indicator , baseline (sea) , economic forecasting , economic model , economic data , decision support system , econometrics , data mining , artificial intelligence , machine learning , economics , statistics , mathematics , macroeconomics , mathematical analysis , oceanography , physics , quantum mechanics , programming language , geology , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research