Time-series prediction based on pattern classification

被引：7

作者：

Zeng, Z ^{[1
]}

Yan, H ^{[1
]}

Fu, AMN ^{[1
]}

机构：

[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia

来源：

ARTIFICIAL INTELLIGENCE IN ENGINEERING | 2001年 / 15卷 / 01期

关键词：

time-series prediction; lag vector; pattern classification; probabilistic relaxation; multi-layer perceptron;

D O I：

10.1016/S0954-1810(00)00026-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new time-series predication method is proposed based on pattern analysis. In this method, basic patterns and their probabilities are extracted from a time series. A probabilistic relaxation method is employed to classify the probability vectors of the basic patterns. In order to verify the effectiveness of the proposed method, several experiments are carried out on a simulation signal and real data. The results show that the proposed method has advantages over existing methods in some applications. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：61 / 69

页数：9

共 50 条

[1] PATTERN-RECOGNITION AND CLASSIFICATION IN TIME-SERIES ANALYSIS
WU, BL
[J]. APPLIED MATHEMATICS AND COMPUTATION, 1994, 62 (01) : 29 - 45
[2] Noisy time-series prediction using pattern recognition techniques
Singh, S
[J]. COMPUTATIONAL INTELLIGENCE, 2000, 16 (01) : 114 - 133
[3] A Pattern-Based Adaptive Method for the Analysis and Prediction of Time-Series in Sewage Treatment
Aissa, Tarek
Arnold, Christian
Lambeck, Steven
[J]. INTELLIGENT SYSTEMS'2014, VOL 2: TOOLS, ARCHITECTURES, SYSTEMS, APPLICATIONS, 2015, 323 : 883 - 891
[4] Pattern classification of time-series EMC signals using neural networks
Tsuji, T
Fukuda, O
Kaneko, M
Ito, K
[J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2000, 14 (08) : 829 - 848
[5] FEATURE-EXTRACTION AND PATTERN-CLASSIFICATION OF HORMONAL TIME-SERIES
WANG, TP
VAGNUCCI, AH
PRATT, V
LI, CC
[J]. IMAGES OF THE TWENTY-FIRST CENTURY, PTS 1-6, 1989, 11 : 752 - 753
[6] Pattern classification of time-series EEG signals using neural networks
Fukuda, O
Tsuji, T
Kaneko, M
[J]. RO-MAN '96 - 5TH IEEE INTERNATIONAL WORKSHOP ON ROBOT AND HUMAN COMMUNICATION, PROCEEDINGS, 1996, : 217 - 222
[7] UNSUPERVISED TIME-SERIES CLASSIFICATION
RAJAN, JJ
RAYNER, PJW
[J]. SIGNAL PROCESSING, 1995, 46 (01) : 57 - 74
[8] Mobile Networks Classification Based on Time-Series Clustering
Lu, Shun
Qian, Bing
Zhao, Long-Gang
Sun, Qiong
[J]. 2022 IEEE 5TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION ENGINEERING, ICECE, 2022, : 65 - 71
[9] Prediction of Chamber Leak Pattern Using Time-Series Neural Network
Kwon, Mine
Park, Byung Chan
Kim, Byungwhan
[J]. NEW ASPECTS OF SYSTEMS, PTS I AND II, 2008, : 164 - +
[10] TIME-SERIES - INFORMATION AND PREDICTION
TEODORESCU, D
[J]. BIOLOGICAL CYBERNETICS, 1990, 63 (06) : 477 - 485

← 1 2 3 4 5 →