HIGHLIGHTS
- who: JUTIF from the Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Indonesia have published the paper: JUTIF Template, in the Journal: (JOURNAL)
- what: This study examines the improvement of SVM performance by selecting parameters using Particle Swarm Optimization (PSO) on credit risk classification the results of which are compared with SVM with random parameter selection. The important objective of the credit classification method is to separate the group of borrowers who are 1740 Jurnal Teknik Informatika (JUTIF), Vol. In this study, an effective technique is implemented to find pairs of parameters c . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.