On a higher-order neural network for distortion invariant pattern recognition

被引：22
作者：
Kaita, T
Tomita, S
Yamanaka, J
机构：
[1] Oshima Natl Coll Maritime Technol, Informat Sci & Technol Dept, Yamaguchi 7422193, Japan
[2] Shobi Univ, Dept Humanit Informat, Fac Mus & Mediaarts, Kawagoe, Saitama 3501153, Japan
来源：
PATTERN RECOGNITION LETTERS | 2002年 / 23卷 / 08期
关键词：
decomposition effect; distortion invariant pattern recognition; training; higher-order neural network; local structure;
D O I：
10.1016/S0167-8655(02)00028-4
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 proposed some methods upon a second-order neural network. These networks apply the normalized frequency distribution of distance between two points on an object. 0.766 of the recognition accuracy for 2D two-class mixture distributions and 0.960 for hand-written characters are achieved. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：977 / 984
页数：8
相关论文
共 50 条
  • [41] Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks
    Wu, Jibin
    Xu, Chenglin
    Han, Xiao
    Zhou, Daquan
    Zhang, Malu
    Li, Haizhou
    Tan, Kay Chen
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 44 (11) : 7824 - 7840
  • [42] A Graph Guided Convolutional Neural Network for Surface Defect Recognition
    Wang, Yucheng
    Gao, Liang
    Gao, Yiping
    Li, Xinyu
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 19 (03) : 1392 - 1404
  • [43] Landslide Recognition by Deep Convolutional Neural Network and Change Detection
    Shi, Wenzhong
    Zhang, Min
    Ke, Hongfei
    Fang, Xin
    Zhan, Zhao
    Chen, Shanxiong
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (06): : 4654 - 4672
  • [44] Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification
    Low, Cheng-Yaw
    Park, Jaewoo
    Teoh, Andrew Beng-Jin
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (12) : 5021 - 5034
  • [45] A MobileNets Convolutional Neural Network for GIS Partial Discharge Pattern Recognition in the Ubiquitous Power Internet of Things Context: Optimization, Comparison, and Application
    Wang, Yanxin
    Yan, Jing
    Sun, Qifeng
    Li, Junyi
    Yang, Zhou
    IEEE ACCESS, 2019, 7 : 150226 - 150236
  • [46] Dual-Channel Hybrid Neural Network for Modulation Recognition
    Lu, Min
    Peng, Tianjun
    Yue, Guangxue
    Ma, Bolin
    Liao, Xiangbai
    IEEE ACCESS, 2021, 9 : 76260 - 76269
  • [47] Higher-order Turbulence Statistics in the Sub-Alfvenic Solar Wind Observed by Parker Solar Probe
    Zhang, J.
    Huang, S. Y.
    Yuan, Z. G.
    Jiang, K.
    Xu, S. B.
    Bandyopadhyay, R.
    Wei, Y. Y.
    Xiong, Q. Y.
    Wang, Z.
    Yu, L.
    Lin, R. T.
    ASTROPHYSICAL JOURNAL, 2022, 937 (02)
  • [48] Improved High-Density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural Network
    Wu, Le
    Zhang, Xu
    Wang, Kun
    Chen, Xiang
    Chen, Xun
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (12) : 2637 - 2646
  • [49] Non-Linear Classification using Higher Order Pi-Sigma Neural Network and Improved Particle Swarm Optimization: An Experimental Analysis
    Kanungo, D. P.
    Nayak, Janmenjoy
    Naik, Bighnaraj
    Behera, H. S.
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, CIDM, VOL 2, 2016, 411 : 507 - 518
  • [50] Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition
    Zhang, Ming
    An, Jubai
    Yu, Da Hua
    Yang, Li Dong
    Wu, Liang
    Lu, Xiao Qi
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
12345