References
[1]. Al-Shayea, Q. K. (2011). Artificial neural networks in
medical diagnosis. International Journal of Computer
Science Issues, 8(2), 150-154.
[2]. Carvalho, M., & Ludermir, T. B. (2006, October). An
analysis of PSO hybrid algorithms for feed-forward neural
networks training. In Neural Networks, 2006. SBRN'06.
Ninth Brazilian Symposium on (pp. 6-11). IEEE.
[3]. Dang, T. L., Cao, T., & Hoshino, Y. (2016). Data Preprocessing
for a Neural Network Trained by an Improved
Particle Swarm Optimization Algorithm. International
Journal of Computer Applications, 154(1), 1-8.
[4]. Gandomi, A. H., Yang, X. S., & Alavi, A. H. (2013).
Cuckoo search algorithm: A metaheuristic approach to
solve structural optimization problems. Engineering with
Computers, 29(1), 17-35.
[5]. Gandomi, A. H., Yang, X. S., Talatahari, S., & Deb, S.
(2012). Coupled eagle strategy and differential evolution
for unconstrained and constrained global optimization.
Computers & Mathematics with Applications, 63(1), 191-
200.
[6]. Hippert, H. S., Pedreira, C. E., & Souza, R. C. (2001).
Neural networks for short-term load forecasting: A review
and evaluation. IEEE Transactions on Power Systems,
16(1), 44-55.
[7]. Kaya, E., Aktan, M. E., Koru, A. T., & Akdogan, E.
(2015). Diagnosis of anemia in children via artificial neural
network. International Journal of Intelligent Systems and
Applications in Engineering, 3(1), 24-27.
[8]. Kenndy, J., & Eberhart, R. C. (1995, December).
Particle swarm optimization. In Proceedings of IEEE
International Conference on Neural Networks (Vol. 4, pp.
1942-1948). IEEE Press.
[9]. Kononenko, I. (2001). Machine learning for medical
diagnosis: History, state of the art and perspective.
Artificial Intelligence in Medicine, 23(1), 89-109.
[10]. Mohaghegi, S., Del Valle, Y., Venayagamoorthy, G.
K., & Harley, R. G. (2005, June). A comparison of PSO and
backpropagation for training RBF neural networks for
identification of a power system with STATCOM. In Swarm
Intelligence Symposium, 2005. SIS 2005. Proceedings
2005 IEEE (pp. 381-384). IEEE.
[11]. Sharma, N., & Khullar, V. (2016). Comparative
Review of Artificial Neural Network Machine Learning for
diagnosing Aneamia in Pregnant Ladies. i-manager's
Journal on Information Technology, 5(4), 33-38.
[12]. Shi, Y. (2001). Particle swarm optimization:
developments, applications and resources. In
evolutionary computation, 2001. Proceedings of the
2001 Congress on (Vol. 1, pp. 81-86). IEEE.
[13]. Suresh, A., Harish, K. V., & Radhika, N. (2015). Particle
swarm optimization over back propagation neural
network for length of stay prediction. Procedia Computer
Science, 46, 268-275.
[14]. The LINKAGES Project, Maternal Nutrition during
Pregnancy and Lactation, United State Agency for
International Development (USAID), Academy for
Educational Development [AED], The CORE Group, 2004.
[15]. United Nations. World Health Organization. (2001).
Iron Deficiency Anaemia: Assesment, Prevention and
Control: a Guide for Programme Managers. World Health
Organization.
[16]. Yilmaz, Z., & Bozkurt, M. R. (2012). Determination of
women iron deficiency anemia using neural networks.
Journal of Medical Systems, 36(5), 2941-2945.
