**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**30855

##### Analysis of Multilayer Neural Network Modeling and Long Short-Term Memory

**Authors:**
Danilo López,
Nelson Vera,
Luis Pedraza

**Abstract:**

**Keywords:**
Neural Networks,
Mathematical Analysis,
multilayer perceptron,
long short-term memory,
recurrent neuronal network

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1339748

**References:**

[1] Zachary, L., J. Berkowitz., C. Elkan., 2015. A critical review of recurrent neural networks for sequence learning. arXiv preprint arXiv:1506.00019.

[2] Pérez, J., 2002. Predictive models based on discrete time recurrent neural networks. Department of Language and Computer Systems. PhD Thesis, University of Alicante.

[3] Alex, Graves., 2012. Supervised Sequence Labelling with Recurrent Neural Networks. Poland: Springer, ISBN: 978-3642247965.

[4] Neural networks basics. (Online). Accessed on February 7 2015, retrieved from http://grupo.us.es/gtocoma/pid/pid10/RedesNeuronales.htm.

[5] Artificial neuronal networks in intensive medicine. An example of application with MPM II variables. (Online). Accessed May 17 2015, retrieved from http://www.medintensiva.org/es/redes-neuronales-artificiales-medicina-intensiva-/articulo/13071859/.

[6] Yan, S. Understanding LSTM networks. (Online). Accessed on August 11 2015 retrieved from http://colah.github.io/posts/2015-08-Understanding-LSTMs/.

[7] Schmidhuber, J., S, Hochrei., 1997. Long short-term memory. Journal Neural computation, 9: 1735-1780.

[8] Ke-Lin, D., M. Swamy., 2013. Neural networks and statistical learning. New York: Springer & Business Media, ISBN: 978-1447170471.