Multi Codebook LVQ-Based Artificial Neural Network Using Clustering Approach

被引：0
|
作者：
Ma'sum, M. Anwar [1 ]
Sanabila, H. R. [1 ]
Jatmiko, W. [1 ]
Aprinaldi [1 ]
机构：
[1] Univ Indonesia, Fac Comp Sci, Depok, Indonesia
来源：
2015 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we proposed multicodebook L VQ-based artificial neural network classifier using clustering approach. The classifiers are LVQ, LVQ2-1, GLVQ, and FNGLVQ. The clustering algorithm used to build multi codebook is K -Means, IKMeans, and GMM. Experiment result shows that on synthteic dataset multi codebook FNGLVQ using GMM clustering has higest improvement with 19,53% mprovement compared to FNGL VQ. Whereas on bencmark dataset multi codebook L VQ2-1 using K-Means clustering has higest improvement with 5,83% improvement cmpared to LVQ-2.1
引用
收藏
页码：263 / 268
页数：6
相关论文
共 50 条
  • [31] Face detection using artificial neural network approach
    Nazeer, Shahrin Azuan
    Omar, Nazaruddin
    Jumare, Khairol Faisal
    Khalid, Marzuki
    AMS 2007: FIRST ASIA INTERNATIONAL CONFERENCE ON MODELLING & SIMULATION ASIA MODELLING SYMPOSIUM, PROCEEDINGS, 2007, : 394 - +
  • [32] Classifying inventory using an artificial neural network approach
    Partovi, FY
    Anandarajan, M
    COMPUTERS & INDUSTRIAL ENGINEERING, 2002, 41 (04) : 389 - 404
  • [33] A global modeling approach using artificial neural network
    Goasguen, S
    Hammadi, SM
    El-Ghazaly, SM
    1999 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM DIGEST, VOLS 1-4, 1999, : 153 - 156
  • [34] Net flow clustering analysis based on SOM artificial neural network
    Department of Computer Science and Engineering, Tongji University, Shanghai 200092, China
    Jisuanji Gongcheng, 2006, 16 (103-105+111):
  • [35] ARTIFICIAL NEURAL NETWORK BASED ON APPROACH FOR COMMERCIAL DETECTION
    Zafar, Hina
    Shabbir, Umair
    Muntaha, Sana
    INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY, 2019, 11 (02): : 35 - 42
  • [36] Detection of Vitiligo Skin Disease using LVQ Neural Network
    Anthal, Jyotsna
    Upadhyay, Anand
    Gupta, Ashish
    2017 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER, ELECTRICAL, ELECTRONICS AND COMMUNICATION (CTCEEC), 2017, : 922 - 925
  • [37] Intelligent Clustering and Dynamic Incremental Learning to Generate Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification
    Ma'sum, Muhammad Anwar
    SYMMETRY-BASEL, 2020, 12 (04):
  • [38] Intrusion alert analysis based on PCA and the LVQ neural network
    Wang, Jing-Xin
    Wang, Zhi-Ying
    Kui-Dai
    NEURAL INFORMATION PROCESSING, PT 3, PROCEEDINGS, 2006, 4234 : 217 - 224
  • [39] Face detection algorithm based on LVQ neural network model
    Wang Yan
    Qi Meng
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2021, 36 (07) : 1027 - 1034
  • [40] Study on Prediction of Traffic Congestion Based on LVQ Neural Network
    Shen, Xiaojun
    Chen, Jun
    2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL III, 2009, : 318 - 321
12345