Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 17
Page No. 6240 - 6244

Data Mining based Prediction of Unemployment Rate Data by using Radial Basis Function Neural Network (RBFNN)

Authors : Younis Kadthem Hameed, Wahab S. Mohammed and Fadhel Kadhem Zaidan

References

Dawson, C.W. and R. Wilby, 1998. An artificial neural network approach to rainfall-runoff modelling. J. Hydrol. Sci., 43: 47-66.
CrossRef  |  Direct Link  |  

Defeng, Z., 2009. MATLAB Neural Network Application Design. Mechanical Industry Press, Beijing, Chaina,.

Defeng, Z., 2009. MATLAB Neural Network Simulation and Application. Electronic Industry Press, Beijing, China,.

Liu, X.Q., X.Y. Wang and R.D. Yu, 2009. Study on traffic accidents prediction model based on RBF neural network. Comput. Eng. Appl., 45: 188-190.

Sing, J.K., D.K. Basu, M. Nasipuri and M. Kundu, 2003. Improved K-means algorithm in the design of RBF neural networks. Proceedings of the International Conference on Convergent Technologies for Asia-Pacific Region (TENCON 2003) Vol. 2, October 15-17, 2003, IEEE, Bangalore, India, pp: 841-845.

Sun, Y.P., L. Zhang and R. Lu, 2002. Tourist quantity forecast by using neural network. Hum. Geogr., 17: 50-52.

Wei, H., 2005. Neural network structure design theory and method. National Defence Industry Press, Beijing, China.

Zhang, H. and J. Li, 2012. Prediction of tourist quantity based on RBF neural network. J. Comput., 7: 965-970.
Direct Link  |  

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