A Novel Approach for Parameter Estimation Of Discrete Dynamical Systems Using Self-Organizing Maps

被引：0
作者：
Mousazadeh, Ali [1 ]
Shekofteh, Yasser [1 ]
机构：
[1] Shahid Beheshti Univ, Fac Comp Sci & Engn, Tehran, Iran
来源：
2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019) | 2019年
关键词：
Dynamical systems; chaotic systems; parameter estimation; parameter estimator self-organizing map; logistic map;
D O I：
10.1109/iraniancee.2019.8786497
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a novel approach towards parameter estimation of discrete dynamical systems with strange attractors is proposed which relies on parameter estimator self-organizing maps (PESOM). Theoretical justifications and a computational complexity analysis are presented regarding the efficiency of PESOM based cost function. Furthermore, experimental results demonstrating PESOM's superior performance compared to previously proposed cost functions such as Gaussian Mixture Model (GMM), Mean-Squared Error (MSE) and Return Map Fingerprint (RMF) are presented.
引用
收藏
页码：1024 / 1029
页数：6
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