<bold>Improving Simplified Fuzzy ARTMAP Performance Using Genetic Algorithm for Brain Fingerprint Classification</bold>

被引：0
|
作者：
Palaniappan, Ramaswamy [1 ]
Krishnan, Shankar M. [2 ]
Eswaran, Chikkanan [3 ]
机构：
[1] Univ Essex, Dept Comp Sci, Colchester CO4 3SQ, Essex, England
[2] Nanyang Technol Univ, Biomed Engn Res Ctr, Singapore 639798, Singapore
[3] Multimedia Univ, Fac Informat Technol, Cyberjaya, Malaysia
来源：
2006 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS, VOLS 1 AND 2 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A genetic algorithm is proposed for ordering the input patterns during training for Simplified Fuzzy ARTMAP (SFA) classifier to improve the individual identification classification performance using brain fingerprints. The results indicate improved classification performance as compared to the existing methods for pattern ordering, namely voting strategy and min-max. As the ordering method is general, it could be used with any dataset to obtain improved classification performance when SFA is used.
引用
收藏
页码：319 / +
页数：2
相关论文
共 50 条
  • [1] Using genetic algorithm to select the presentation order of training patterns that improves simplified fuzzy ARTMAP classification performance
    Palaniappan, Ramaswamy
    Eswaran, Chikkanan
    [J]. APPLIED SOFT COMPUTING, 2009, 9 (01) : 100 - 106
  • [2] Improving Goal-Driven Simulation Performance Using Fuzzy Membership Correlation Analysis<bold> </bold>
    Ferreyra, Emmanuel
    Hagras, Hani
    Kern, Mathias
    Owusu, Gilbert
    [J]. 2018 10TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING CONFERENCE (CEEC), 2018, : 254 - 259
  • [3] Fault Detection and Classification Using Fuzzy Logic Controller and ANN<bold> </bold>
    Verma, Rishabh
    Ansari, M. A.
    [J]. MICRO-ELECTRONICS AND TELECOMMUNICATION ENGINEERING, ICMETE 2021, 2022, 373 : 25 - 35
  • [4] A Hybrid Model of Fuzzy ARTMAP and the Genetic Algorithm for Data Classification
    Seera, Manjeevan
    Liew, Wei Shiung
    Loo, Chu Kiong
    [J]. NEURAL INFORMATION PROCESSING, PT II, 2015, 9490 : 346 - 353
  • [5] <bold>New Temperature Idity Fuzzy Neural Neural Network Controller Based On Improved Genetic Algorithm</bold>
    Zhang Su
    Zhang Shuguang
    Liu Yu
    Gao Li'ai
    [J]. ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL II, 2007, : 590 - +
  • [6] Image classification for genetic diagnosis using fuzzy ARTMAP
    Lerner, Boaz
    Vigdor, Boaz
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS, 2006, : 362 - +
  • [7] Simplified fuzzy ARTMAP classification of individuals using optimal VEP channels
    Ravi, K. V. R.
    Palaniappan, Ramaswamy
    Heng, S. -H.
    [J]. INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS, 2006, 10 (06) : 445 - 452
  • [8] Genetic algorithm to select features for Fuzzy ARTMAP classification of evoked EEG
    Palaniappan, R
    Raveendran, P
    [J]. APCCAS 2002: ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, VOL 2, PROCEEDINGS, 2002, : 53 - 56
  • [9] Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP
    Loo, CK
    Rao, MVC
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2005, 17 (11) : 1589 - 1593
  • [10] Classification of Characters Using Multilayer Perceptron and Simplified Fuzzy ARTMAP Neural Networks
    Wafi, N. M.
    Sabri, Naseer
    Yaakob, Shahrul Nizam
    Nasir, A. S. A.
    Nazren, A. R. A.
    Hisham, M. B.
    [J]. ADVANCED SCIENCE LETTERS, 2017, 23 (06) : 5151 - 5155
12345