Research on Artificial Reaction Diffusion Network Model and Its Application

HUANG Guo-rui; WANG Shi-gui; LIU Xiao-qin; DING Guang-zhao

doi:10.3969/j.issn.0372-2112.2019.12.016

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Research on Artificial Reaction Diffusion Network Model and Its Application

更新时间：2025-07-16

- Research on Artificial Reaction Diffusion Network Model and Its Application
- Acta Electronica Sinica Vol. 47, Issue 12, Pages: 2569-2574(2019)
- 作者机构：
  
  1. 中国人民解放军31002部队,北京,100094
  2. 陆军炮兵防空兵学院,安徽,合肥,230031
  3. 安徽农业大学经济技术学院,安徽,合肥,230061
  4. 中国人民解放军31002部队,北京,100094
  5. 陆军炮兵防空兵学院,安徽,合肥,230031
  6. 安徽农业大学经济技术学院,安徽,合肥,230061
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.71371187)
- DOI：10.3969/j.issn.0372-2112.2019.12.016
  CLC： TP393.08
- Published Online：25 December 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
HUANG Guo-rui, WANG Shi-gui, LIU Xiao-qin, et al. Research on Artificial Reaction Diffusion Network Model and Its Application[J]. Acta Electronica Sinica, 2019, 47(12): 2569-2574.
DOI：

HUANG Guo-rui, WANG Shi-gui, LIU Xiao-qin, et al. Research on Artificial Reaction Diffusion Network Model and Its Application[J]. Acta Electronica Sinica, 2019, 47(12): 2569-2574. DOI： 10.3969/j.issn.0372-2112.2019.12.016.

摘要

内分泌系统是由各种内分泌细胞组成的复杂系统，其蕴含的基于荷尔蒙的反应扩散信息处理机制，对仿生智能理论和技术的研究具有非常重要的借鉴意义.在分析生物内分泌系统中荷尔蒙的反应扩散作用机理基础上，提出了人工反应扩散网络模型和基于该模型的自学习算法，该模型通过模拟荷尔蒙的扩散以及与受体的反应来实现对人工生命体的控制.为了验证模型及其算法的有效性，本文做了机器人自动导航控制的仿真实验，结果也表明了该模型及其算法具有良好的自适应求解能力.

Abstract

Endocrine system is a complex system composed of various endocrine cells. It contains a hormone-based reaction diffusion information processing mechanism

which provides very important reference for the research of bionic intelligence theory and technology. Based on the analysis of the reaction diffusion mechanism of hormones in biological endocrine system

an artificial reaction diffusion network model and a self-learning algorithm based on the model are proposed. The model simulates the diffusion of hormones and the reaction with receptors to control artificial life. In order to verify the validity of the model and its algorithm

a simulation experiment of robot automatic navigation control is done. The results also show that the model and algorithm have good adaptive resolution ability.

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