Title :
Application of Data Fusion on System of Measurement and Control for Grain Storage
Author :
Zhu, Yuhua ; Zhen, Tong ; Ma, Zhi
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
Data fusion was used to predict the safe value of grain environment in different operational conditions. The temperature, humidity, moisture, pest and etc., were used as inputs to the data fusion center and network. Feed-forward artificial neural networks with 4-10-5 arrangements were capable to estimate the safe value of grain environment as the outputs. This method, characterized by sufficiently utilizing the effective detected data, optimizing homogeneous data, and considering the complementation of the different data source makes possible an improvement in the reliability and entirety of detection system.
Keywords :
feedforward neural nets; sensor fusion; data fusion; detection system; feedforward artificial neural networks; grain storage; safe value; Artificial intelligence; Artificial neural networks; Automatic control; Control nonlinearities; Control systems; Data engineering; Educational institutions; Information science; Nonlinear control systems; Target recognition; BP neural network; Data fusion; Sensor fusion;
Conference_Titel :
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3728-3
DOI :
10.1109/CASE.2009.36
