Discussion of “Evapotranspiration Modeling Using Second-Order Neural Networks” by Sirisha Adamala, N. S. Raghuwanshi, Ashok Mishra, and Mukesh K. Tiwari
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Volume 20, Issue 9
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References
Adamala, S., Raghuwanshi, N. S., Mishra, A., and Tiwari, M. K. (2014). “Evapotranspiration modeling using second-order neural networks.” J. Hydrol. Eng., 1131–1140.
Al-Rawi, M. S., and Al-Rawi, K. R. (2010). “On the equivalence between high-order neural networks and ordinary neural networks.” Artificial higher order neural networks for computer science and engineering: Trends for emerging applications, M. Zhang, ed., IGI Global, 138–157.
Dunis, C., Laws, J., and Sermpinis, G. (2011). “Higher order and recurrent neural architectures for trading the EUR/USD exchange rate.” Quant. Finance, 11(4), 615–629.
Epitropakis, M. G., Plagianakos, V. P., and Vrahatis, M. N. (2006). “Higher-order neural networks training using differential evolution.” Int. Conf. of Numerical Analysis and Applied Mathematics, Wiley-VCH, Crete, Greece, 376–379.
Giles, C. L., and Maxwell, T. (1987). “Learning, invariance and generalization in high-order neural networks.” Appl. Opt., 26(23), 4972–4978.
Homma, N., and Gupta, M. M. (2002). “Superimposing learning for backpropagation neural networks.” Jpn. Med. Coll. Bull., 11(2), 253–259.
Rumelhart, D. E., and McClelland, J. L. (1986). Parallel distributed processing: Explorations in the microstructure of cognition, MIT Press, Cambridge, MA.
Taylor, J. G., and Commbes, S. (1993). “Learning higher order correlations.” Neural Networks, 6(3), 423–427.
Zhang, M., Xu, S., and Fulcher, J. (2002). “Neuron-adaptive higher order neural-network models for automated financial data modeling.” IEEE Trans. Neural Networks, 13(1), 188–204.
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© 2015 American Society of Civil Engineers.
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Received: Jun 15, 2014
Accepted: Jul 15, 2014
Published online: Mar 20, 2015
Discussion open until: Aug 20, 2015
Published in print: Sep 1, 2015
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