2015 ◽  
Vol 33 (4) ◽  
pp. 417-429
Author(s):  
Hyunjin PARK ◽  
Mijung YOON ◽  
Hae KIM ◽  
Cheol OH

Author(s):  
Seung Bae Jeon ◽  
Muhammad Sarfraz Khan ◽  
Jung Hwan Lee ◽  
Myeong Hun Jeong

This chapter develops two new nonlinear artificial higher order neural network models. They are sine and sine higher order neural networks (SIN-HONN) and cosine and cosine higher order neural networks (COS-HONN). Financial data prediction using SIN-HONN and COS-HONN models are tested. Results show that SIN-HONN and COS-HONN models are good models for some sine feature only or cosine feature only financial data simulation and prediction compared with polynomial higher order neural network (PHONN) and trigonometric higher order neural network (THONN) models.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 22802-22811
Author(s):  
Zhigang Li ◽  
Jialin Wang ◽  
Di Cai ◽  
Yingqi Li ◽  
Changxin Cai ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document