Artificial Neural Networks and Gene Expression Programing based age estimation using facial features

Ferreira, C., 2001. Gene expression programming: a new adaptive algorithm for solving problems” complex systems, 13 (2), 87–129. The FG-NET aging database available: <http://www.fgnet.rsunit.com>, 2015. Narayanan Ramanathan, Rama Chellappa, Soma Biswas, 2009. Age progression in human faces: a survey. Fukai, H., Nishie, Y., Abiko, K., Mitsukura, Y., Fukumi, M., Tanaka, M., 2008. An age estimation system on the AIBO. In: International Conference on Control, Automation and Systems, pp. 2551–2554. Horng, 2001, Classification of age groups based on facial features, J. Sci. Eng., 4, 183 Geng, 2007, Automatic age estimation based on facial aging patterns, IEEE Trans. Pattern Anal. Mach. Intell., 29, 2234, 10.1109/TPAMI.2007.70733 Geng, X., Smith-Miles, K., Zhou, Z., 2008. Facial age estimation by nonlinear aging pattern subspace. In: Proceedings of the 16th ACM International Conference on Multimedia, pp. 721–724. Hewahi, 2010, Age estimation based on neural networks using face features, J. Emerg. Trends Comput. Inf. Sci., 1, 2218 Sivanandam, S.N., Sumathi, S., Deepa, S.N., 2015. Introduction to neural networks using MATLAB 6.0. Haykin, S., 1999. Neural Networks: A Comprehensive Foundation, second ed. Back propagation artificial neural network (BPANN) based performance analysis of diesel engine using biodiesel, Int. J. Renew. Sustain. Energy 3 (1), published 3rd January 2011. http://dx.doi.org/10.1063/1.3517229 [ISSN 1941-7012], published by American Institute of Physics. Sumita Deb Barma, Biplab Das, Asis Giri, Majumder, S., Bose, P.K. Sanjeev Kumar, Manoj Kumar, 2012. Application of neural network in integration of shape from shading and stereo, J. King Saud Univ. Comput. Inf. Sci. Ibrahim Masood, Adnan Hassan, 2012. An integrated MEWMA-ANN scheme towards balanced monitoring and accurate diagnosis of bivariate process mean shifts, J. King Saud Univ. Comput. Inf. Sci. Martin Fodslette Meiller, 1993. University of Aarhus: a scaled conjugate gradient algorithm for fast supervised learning, 6, pp. 525–533. Holland, 1975 Koza, 1992 Ferreira, 2006 Majumder, 2014, A novel SVD and GEP based image watermarking, 601 Shaw, 2013, A novel EMD based watermarking of fingerprint biometric using GEP Majhi, 2013, On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices, J. King Saud Univ. Comput. Inf. Sci.