Open AccessAn Improved Particle Swarm Optimization Based on Hormone Modulation Mechanism
Author(s) -
Chuncai Xiao
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1302/4/042045
Subject(s) - polyacrylonitrile , particle swarm optimization , coagulation , mechanism (biology) , modulation (music) , particle (ecology) , property (philosophy) , coupling (piping) , biological system , computer science , fiber , materials science , mathematical optimization , control theory (sociology) , polymer , physics , mathematics , biology , artificial intelligence , algorithm , philosophy , composite material , control (management) , medicine , epistemology , ecology , quantum mechanics , acoustics
The manufacture of polyacrylonitrile carbon fiber (PCF) contains a group of workshop technologies with very complexity. A pivotal technology is the coagulation of the PCN in production of fiber which has a great many arguments connecting with one another. In this paper, an PID neural networkregulate strategy with improved particle swarm optimization (PIDNNHPSO) on account of the endocrine hormone regulate theory of human body is presented, and used to the coagulation tank of PCF manufacture. Three crucial arguments including liquid high, temperature, concentration of water are extracted. Experimental consequences reveal that the PIDNNHPSO can promptly response to the alternating quantity of regulate arguments, perfectly cut down the coupling effect and make reposeful adjustion without fluctuation, which has a exceed property than traditional regulate programmes.