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山东大学学报(理学版) ›› 2016, Vol. 51 ›› Issue (8): 90-97.doi: 10.6040/j.issn.1671-9352.0.2015.425

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信息规律智能变换-伪装与P-规律增广矩阵

张凌1,任雪芳1,史开泉2*   

  1. 1.龙岩学院信息工程学院, 福建 龙岩 364012;2.山东大学数学学院, 山东 济南 250100
  • 收稿日期:2015-09-04 出版日期:2016-08-20 发布日期:2016-08-08
  • 通讯作者: 史开泉(1945— ), 男, 教授, 博士生导师, 研究方向为系统理论与应用. E-mail:shikq@sdu.edu.cn E-mail:zl79024@163.com
  • 作者简介:张凌(1963— ), 男, 教授, 研究方向为信息系统与信息识别. E-mail:zl79024@163.com
  • 基金资助:
    福建省自然科学基金资助项目(2015J05010);福建省中青年教师教育科研项目(JA15495);福建省中青年教师教育科研项目(JA15503);龙岩学院协同创新资助项目;龙岩学院重点学科资助项目

Intelligent switch-camouflage of information laws and P-law augmented matrices

ZHANG Ling1, REN Xue-fang1, SHI Kai-quan2*   

  1. 1. School of Information Engineering, Longyan University, Longyan 364012, Fujian, China;
    2. School of Mathematics, Shandong University, Jinan 250100, Shandong, China
  • Received:2015-09-04 Online:2016-08-20 Published:2016-08-08

摘要: 利用函数P-集合的动态结构,改进普通增广矩阵概念,提出规律矩阵、内P-规律增广矩阵、外P-规律增广矩阵与P-规律增广矩阵,给出它们的结构、生成和属性关系。提出P-规律增广矩阵推理和推理结构,给出在P-规律增广矩阵推理条件下的规律智能分离、智能分离定理、信息规律智能分离算法及其在信息图像智能变换-伪装中的应用。

关键词: 规律矩阵, P-规律增广矩阵推理, 智能算法, 图像智能变换-伪装, P-规律增广矩阵, 函数P-集合

Abstract: By using the dynamic structures of function P-sets to improve the concept of ordinary augmented matrix, the matrices such that law matrix, internal P-law augmented matrix, outer P-law augmented matrix and P-law augmented matrix are proposed, and their structure and generations, their attribute relationships are also given. Then the reasoning of P-law augmented matrices and the reasoning structures are proposed. Furthermore, using the reasoning of P-law augmented matrices, law intelligent separations and intelligent separation theorems are given. Finally, the intelligent separation algorithm of information laws is given, and its application in intelligent switch-camouflage of information images is shown.

Key words: function P-sets, P-law augmented matrix, reasoning of P-law augmented matrices, intelligent algorithm, law matrix, intelligent switch-camouflage of images

中图分类号: 

  • O144
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[3] 关静, 张晓斌, 张金凤. 随机机会约束的机型指派模型及算法[J]. 山东大学学报(理学版), 2015, 50(03): 45-51.
[4] 吴松丽1,2,陈桂友3*. 外-扰动与属性合取收缩规律挖掘-分离[J]. 山东大学学报(理学版), 2014, 49(06): 1-5.
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