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Abstract
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Article Information:
The TiN Content Computer Prediction Based on ANN and AR Model
Ma Chunyang, Ding Junjie, Ning Yumei and Chu Dianqing
Corresponding Author: Chun-yang Ma
Submitted: September 10, 2012
Accepted: October 19, 2012
Published: April 15, 2013 |
Abstract:
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Artificial Neural Network (ANN) and autoregressive model (AR model) of nano TiN particles content in Ni-TiN composite coating was established by the method of time series analysis. In this paper, we want to seek for the TiN content computer prediction in Ni-TiN composite coatings by using ANN and AR model. The trend of the nano TiN particles content variation was forecasted with the AR model, and the prediction value and experimental test results were compared. The XRD patterns were investigated using X-ray Diffraction (XRD).The results show the number of the neuron in hidden layers is 10, and the optimal epoch is 3740. The ANN and AR model can forecast the nano TiN particles content in Ni-TiN composite coating. And the average deviation is about 5.2884%. The average grain size for Ni and TiN is approximately 52.85 and 39.13 nm, respectively.
Key words: AR model, Ni-TiN composite coating, particles content, , , ,
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Cite this Reference:
Ma Chunyang, Ding Junjie, Ning Yumei and Chu Dianqing, . The TiN Content Computer Prediction Based on ANN and AR Model. Research Journal of Applied Sciences, Engineering and Technology, (13): 3617-3621.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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