Agatonovic-Kustrin, S. and R. Beresford (2000). Basic concepts of artificial neural network (ann) modeling and its application in pharmaceutical research. Journal of pharmaceutical and biomedical analysis 22(5), 717–727.
Barthélemy, J., T. Carletti, L. Collier, V. Hallet, M. Moriamé, and A. Sartenaer (2016a). Interaction prediction between groundwater and quarry extension using discrete choice models and artificial neural networks. Environmental Earth Sciences 75(23), 1467.
Barthélemy, J., T. Carletti, L. Collier, V. Hallet, M. Moriamé, and A. Sartenaer (2016b). quarrint: Interaction Prediction Between Groundwater and Quarry Extension Using Discrete Choice Models and Artificial Neural Networks. R package version 1.0.0.
Basheer, I. and M. Hajmeer (2000). Artificial neural networks: fundamentals, computing, design, and application. Journal of microbiological methods 43(1), 3–31.
Ben-Akiva, M. E. and S. R. Lerman (1985). Discrete choice analysis: theory and application to travel demand, Volume 9. MIT press, Cambridge, USA.
Bierlaire, M. (2003). Biogeme: a free package for the estimation of discrete choice models. In Swiss Transport Research Conference, Number TRANSP-OR-CONF-2006-048.
Fritsch, S., F. Guenther, and M. Sulling (2010). neuralnet: Training of neural networks, r package version 1.32.
Kriesel, D. (2007). A brief introduction on neural networks. http://www.dkriesel.com.
Ripley, B. D. (2007). Pattern recognition and neural networks. Cambridge university press.
Train, K. E. (2009). Discrete choice methods with simulation. Cambridge university press, New-York, USA.
Zur, R. M., Y. Jiang, L. L. Pesce, and K. Drukker (2009). Noise injection for training artificial neural networks: A comparison with weight decay and early stopping. Medical physics 36(10), 4810–4818.
