Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 5, Issue: 13)
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 

Key words:  AR model, Ni-TiN composite coating, particles content, , , ,
Vol. 5 , (13): 3617-3621
Submitted Accepted Published
September 10, 2012 October 19, 2012 April 15, 2013
Abstract:

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.
Abstract PDF HTML
  Cite this Reference:
Ma Chunyang, Ding Junjie, Ning Yumei and Chu Dianqing, 2013. The TiN Content Computer Prediction Based on ANN and AR Model.  Research Journal of Applied Sciences, Engineering and Technology, 5(13): 3617-3621.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved