Design of Control System for Detection of Sub-nanometer wood flour Based on Neural Network

被引：0

作者：

Guo, Dezhi ^{[1
]}

Yang, Chunmei ^{[1
]}

Ma, Yan ^{[1
]}

机构：

[1] NE Forestry Univ, Coll Mech & Elect Engn, Harbin, Peoples R China

来源：

BIOTECHNOLOGY, CHEMICAL AND MATERIALS ENGINEERING, PTS 1-3 | 2012年 / 393-395卷

关键词：

neural network; PID control; sub-nanometer wood flour;

D O I：

10.4028/www.scientific.net/AMR.393-395.44

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

In this paper, the detection of sub-nanometer wood flour based on neural network control, how to improved the quality of wood flour is proposed. In the analysis of the advantages of neural network controller, as the auxiliary controller for the PID controller, and improving the control effect of the system. With the contrast of the experimental results, illustrates the quality of the sub-nanometer wood flour has been improved by the neural network control.

引用

页码：44 / 48

页数：5