Mutual information and k-nearest neighbors approximator for time series prediction

被引：0

作者：

Sorjamaa, A ^{[1
]}

Hao, J ^{[1
]}

Lendasse, A ^{[1
]}

机构：

[1] Helsinki Univ Technol, Neural Network Res Ctr, FIN-02150 Espoo, Finland

来源：

ARTIFICIAL NEURAL NETWORKS: FORMAL MODELS AND THEIR APPLICATIONS - ICANN 2005, PT 2, PROCEEDINGS | 2005年 / 3697卷

关键词：

time series; input selection; mutual information; k-NN;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nearest Neighbors approximator is used to improve the input selection and to provide a simple but accurate prediction method. Due to its simplicity the method is repeated to build a large number of models that are used for long-term prediction of time series. The Santa Fe A time series is used as an example.

引用

页码：553 / 558

页数：6

共 50 条

[41] Ensembles of K-Nearest Neighbors and Dimensionality Reduction
Okun, Oleg
Priisalu, Helen
[J]. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 2032 - +
[42] A FUZZY EXTENDED K-NEAREST NEIGHBORS RULE
BEREAU, M
DUBUISSON, B
[J]. FUZZY SETS AND SYSTEMS, 1991, 44 (01) : 17 - 32
[43] A k-Nearest Neighbors Approach for COCOMO Calibration
Le, Phu
Vu Nguyen
[J]. 2017 4TH NAFOSTED CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS), 2017, : 219 - 224
[44] AutoML for Stream k-Nearest Neighbors Classification
Bahri, Maroua
Veloso, Bruno
Bifet, Albert
Gama, Joao
[J]. 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 597 - 602
[45] Hypersphere anchor loss for K-Nearest neighbors
Xiang Ye
Zihang He
Heng Wang
Yong Li
[J]. Applied Intelligence, 2023, 53 : 30319 - 30328
[46] Hypersphere anchor loss for K-Nearest neighbors
Ye, Xiang
He, Zihang
Wang, Heng
Li, Yong
[J]. APPLIED INTELLIGENCE, 2023, 53 (24) : 30319 - 30328
[47] EFFECT OF TIME INTERVALS ON K-NEAREST NEIGHBORS MODEL FOR SHORT-TERM TRAFFIC FLOW PREDICTION
Liu, Zhao
Qin, Xiao
Huang, Wei
Zhu, Xuanbing
Wei, Yun
Cao, Jinde
Guo, Jianhua
[J]. PROMET-TRAFFIC & TRANSPORTATION, 2019, 31 (02): : 129 - 139
[48] Prediction of acid radical ion binding residues by K-nearest neighbors classifier
Liu, Liu
Hu, Xiuzhen
Feng, Zhenxing
Zhang, Xiaojin
Wang, Shan
Xu, Shuang
Sun, Kai
[J]. BMC MOLECULAR AND CELL BIOLOGY, 2019, 20 (Suppl 3)
[49] Prediction of Breast Cancer Using Support Vector Machine and K-Nearest Neighbors
Islam, Md. Milon
Iqbal, Hasib
Haque, Md. Rezwanul
Hasan, Md. Kamrul
[J]. 2017 IEEE REGION 10 HUMANITARIAN TECHNOLOGY CONFERENCE (R10-HTC), 2017, : 226 - 229
[50] Improvement of Search Strategy With K-Nearest Neighbors Approach for Traffic State Prediction
Oh, Simon
Byon, Young-Ji
Yeo, Hwasoo
[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (04) : 1146 - 1156

← 1 2 3 4 5 →