Modified Radial Basis Function Network for Brain Tumor Classification

被引:0
|
作者
Deepa, S. N. [1 ]
Devi, B. Aruna [1 ]
机构
[1] Anna Univ Technol, Dept EEE, Coimbatore 641037, Tamil Nadu, India
来源
SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT I | 2011年 / 7076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
The study proposes a modified RBF with better network learning, convergence, error rates and classification results which involves spatial information data points using Gaussian Mixture Model (GMM) and Expectation Maximization (EM) algorithm for automatic biomedical brain tumour detection. The model was used to predict the brain tumour type (benign or malignant). The results showed outperformance of GMM-EM model with spatial points than the standard RBF model. A classification with a success of 85% and 90.3% has been obtained by the classifiers for RBF and RBF-GMM model.
引用
收藏
页码:366 / 371
页数:6
相关论文
共 50 条
  • [31] A self-adaptive quantum radial basis function network for classification applications
    Lin, CJ
    Chen, CH
    Lee, CY
    2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 3263 - 3268
  • [32] Facial expression classification using PCA and hierarchical radial basis function network
    Lin, Daw-Tung
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2006, 22 (05) : 1033 - 1046
  • [33] Performance Evaluation of Radial Basis Function Neural Network on ECG Beat Classification
    Dogan, Berat
    Korurek, Mehmet
    BIYOMUT: 2009 14TH NATIONAL BIOMEDICAL ENGINEERING MEETING, 2009, : 147 - 150
  • [34] A SELF-ADAPTIVE QUANTUM RADIAL BASIS FUNCTION NETWORK FOR CLASSIFICATION APPLICATIONS
    Lin, Cheng-Jian
    Peng, Chun-Cheng
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (12): : 6621 - 6634
  • [35] Improving training of radial basis function network for classification of power quality disturbances
    Hoang, TA
    Nguyen, DT
    ELECTRONICS LETTERS, 2002, 38 (17) : 976 - 977
  • [36] QRS classification using Adaptive Hermite Decomposition and Radial Basis Function Network
    Zeng, HJ
    Wu, H
    Lin, JR
    PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND, 1998, 20 : 147 - 150
  • [37] PROTEIN SUPERFAMILY CLASSIFICATION USING ADAPTIVE EVOLUTIONARY RADIAL BASIS FUNCTION NETWORK
    Vipsita, Swati
    Rath, Santanu
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2012, 11 (04)
  • [38] A Novel Radial Basis Function Neural Network Approach for ECG Signal Classification
    Sathishkumar, S.
    Priya, R. Devi
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 35 (01): : 129 - 148
  • [39] Image Classification for Feature Selection Using Radial Basis Function Neural Network for Classification (RBFNNC)
    Siddamallappa, Kumar U.
    Gandhewar, Nisarg
    JOURNAL OF ALGEBRAIC STATISTICS, 2022, 13 (02) : 844 - 850
  • [40] Mouse chromosome classification by radial basis function network with fast orthogonal search
    Musavi, MT
    Bryant, RJ
    Qiao, M
    Davisson, MT
    Akeson, EC
    French, BD
    NEURAL NETWORKS, 1998, 11 (04) : 769 - 777