Paper Title:
The Application in Grain Monitoring Based on Particle Swarm-Fuzzy Neural Network Algorithm
  Abstract

In order to strengthen the administration of the barn, we need to storage environment for scientific and effective monitoring and analysis. This paper firstly filter and merge the temperature and humidity information in the environment by using fuzzy neural network, then regard the temperature and humidity as particles, calculate the fitness of the particles according to corresponding mildew rate and cost, finally the outputs of temperature and humidity curve values are obtained through iterative optimization of local and global extreme by particle swarm algorithm.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
1116-1121
DOI
10.4028/www.scientific.net/KEM.474-476.1116
Citation
Z. Tong, W. Jing, Y. Ming, J. J. Wu, "The Application in Grain Monitoring Based on Particle Swarm-Fuzzy Neural Network Algorithm", Key Engineering Materials, Vols. 474-476, pp. 1116-1121, 2011
Online since
April 2011
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Price
$32.00
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