Segmentation method for merged characters using self-organizing map neural networks

被引：0
|
作者：
Department of Applied Mathematics, Dalian University of Technology, Dalian 116024, China [1 ]
机构：
来源：
J. Inf. Comput. Sci. | 2006年 / 2卷 / 219-226期
关键词：
9;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Deep self-organizing map neural networks improve the segmentation for inadequate plantar pressure imaging data set
    Wang, Dan
    Li, Zairan
    Dey, Nilanjan
    Slowik, Adam
    Sherratt, R. Simon
    Shi, Fuqian
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2024,
  • [42] Self-Organizing Fusion Neural Networks
    Wang, Jung-Hua
    Tseng, Chun-Shun
    Shen, Sih-Yin
    Jheng, Ya-Yun
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2007, 11 (06) : 610 - 619
  • [43] Self-organizing neural networks in chemistry
    Gasteiger, Johann
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 254
  • [44] SEGMENTATION OF MERGED CHARACTERS BY NEURAL NETWORKS AND SHORTEST-PATH
    WANG, J
    JEAN, J
    PATTERN RECOGNITION, 1994, 27 (05) : 649 - 658
  • [45] Grey self-organizing map based image segmentation
    School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, China
    不详
    J. Inf. Comput. Sci., 2008, 1 (329-336):
  • [46] Self-organizing tree map approach for image segmentation
    Kong, HS
    Guan, L
    Kung, SY
    2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II, 2002, : 588 - 591
  • [47] Segmentation of market with an improved self-organizing map network
    Pang, Xiuli
    Feng, Yuqiang
    Jiang, Wei
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 416 - 425
  • [48] Exploiting the self-organizing map for medical image segmentation
    Chang, Ping-Lin
    Teng, Wei-Guang
    TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 2007, : 281 - +
  • [49] A teaching method using a self-organizing map for reinforcement learning
    Takeshi Tateyama
    Seiichi Kawata
    Toshiki Oguchi
    Artificial Life and Robotics, 2004, 7 (4) : 193 - 197
  • [50] A teaching method by using Self-Organizing Map for reinforcement learning
    Tateyama, Takeshi
    Kawata, Seiichi
    Oguchi, Toshiki
    Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 2004, 70 (06): : 1722 - 1729
12345