A novel neural network model for different information granulation processing

被引：1
|
作者：
Zhao Jianmin [1 ]
Liang Jiuzhen [1 ]
机构：
[1] Zheijiang Normal Univ, Coll Informat Sci & Engn, Jinan 321004, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING | 2006年
关键词：
granulation computing; information granulation; neural network; learning algorithm; information processing;
D O I：
10.1109/GRC.2006.1635756
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 presents a neural network model for processing different information granulation. Based on the requirement for processing mass information, different hierarchies of the information granulation are constructed. The basic concepts and researches of information granulation are introduced in this paper. And the model that can accept different inputs of information granulation in different levels is presented. Also this paper offers the deduction of the supervised learning algorithm for the neural network taking the three levels of granulation for instance. An example of college student comprehensive estimation is stimulated by the presented model, and experiment results illustrate that the model is efficient.
引用
下载
收藏
页码：49 / +
页数：2
相关论文
共 50 条
  • [11] A neural fuzzy network for word information processing
    Lin, CT
    Duh, FB
    Liu, DJ
    FUZZY SETS AND SYSTEMS, 2002, 127 (01) : 37 - 48
  • [12] The Application of the Generalized Regression Neural Network Model Based on Information Granulation for Short-Term Temperature Prediction
    Wang Weiwei
    Ding Hao
    STUDIES IN INFORMATICS AND CONTROL, 2022, 31 (03): : 53 - 62
  • [13] FILTRATION OF INFORMATION AT THE MODEL NEURAL NETWORK
    ROZSA, KS
    ACTA PHYSIOLOGICA HUNGARICA, 1984, 63 (3-4) : 270 - 271
  • [14] NEURAL NETWORK APPLICATION FOR PHASECHRONOMETRIC MEASUREMENT INFORMATION PROCESSING
    Boldasov, D. D.
    Drozdova, J. V.
    Komshin, A. S.
    Syritskii, A. B.
    MEASUREMENT TECHNIQUES, 2020, 63 (09) : 708 - 712
  • [15] Neural information processing using network-in-a-field
    Liang, P
    ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1233 - 1238
  • [16] A NEURAL NETWORK SYSTEM FOR PRELIMINARY PROCESSING OF VISUAL INFORMATION
    SHEVTSOVA, NA
    RYBAK, IA
    PODLADCHIKOVA, LN
    PERCEPTION, 1991, 20 (01) : 110 - 111
  • [17] Processing of chromatic information in a deep convolutional neural network
    Flachot, Alban
    Gegenfurtner, Karl R.
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2018, 35 (04) : B334 - B346
  • [18] Reservoir computing: a photonic neural network for information processing
    Paquot, Yvan
    Dambre, Joni
    Schrauwen, Benjamin
    Haelterman, Marc
    Massar, Serge
    NONLINEAR OPTICS AND APPLICATIONS IV, 2010, 7728
  • [19] Research on Intelligent Information Processing Based on Neural Network
    Zhai, Cuihong
    2018 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2018), 2018, : 509 - 512
  • [20] Neural Network Application for Phasechronometric Measurement Information Processing
    D. D. Boldasov
    J. V. Drozdova
    A. S. Komshin
    A. B. Syritskii
    Measurement Techniques, 2020, 63 : 708 - 712
12345