A Novel Architecture for Capturing Discrete Sequences Using Self-organizing Maps

被引：0
|
作者：
Ishwara, Manjusri [1 ]
Rajapakse, Jayantha [1 ]
Alahakoon, Damminda [2 ]
机构：
[1] Monash Univ, Fac Informat Technol, Malaysia Campus, Subang Jaya, Selangor, Malaysia
[2] Deakin Univ, Sch Informat & Business Analyt, Geelong, Vic, Australia
来源：
NEURAL INFORMATION PROCESSING (ICONIP 2014), PT I | 2014年 / 8834卷
关键词：
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, proposes a layered approach to capture discrete sequences by exploiting the best matching unit (BMU) selection process of the self-organizing map (SOM) to generate a finite state machine (FSM). The FSM is used with thresholding to identify prominent sub-sequences available in input data.
引用
收藏
页码：551 / 558
页数：8
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