Numerical Simulation and Designing Artificial Neural Network for Water-Diamond Nanofluid Flow for Micro-Scale Cooling of Medical Equipment

Author(s):  
Mojtaba Sepehrnia ◽  
Golnoush Abaei ◽  
Zahra Khosromirza ◽  
Faezeh RooghaniYazdi
2012 ◽  
Vol 496 ◽  
pp. 449-452 ◽  
Author(s):  
Lu Jun Cui ◽  
Hui Chao Shang ◽  
Gang Zhang ◽  
You Ping Chen ◽  
Yong Li

The present work investigates an optical fiber micro-displacement sensor based on artificial neural network. Owing to the micro-displacement sensor was affected by the variations and noises seriously, the artificial neural network was introduced to the micro-displacement sensor as compensation method, experimental results and numerical simulation indicated that the micro-micro-displacement sensor with artificial neural network could enhance the nonlinear correction for sensor and decrease the interferences effectively. Simultaneously, by way of the contrast test of the different neural network, experimental results showed that the linearity of full scope could reach 0.2% for micro-micro-displacement sensor based on BRF network, and concluded the BRF network was more suitable for compensation of optical micro-displacement sensor.


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