TY - JFULL AU - Danilo L贸pez and Nelson Vera and Luis Pedraza PY - 2016/1/ TI - Analysis of Multilayer Neural Network Modeling and Long Short-Term Memory T2 - International Journal of Mathematical and Computational Sciences SP - 696 EP - 702 VL - 10 SN - 1307-6892 UR - https://publications.waset.org/pdf/10006216 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 120, 2016 N2 - This paper analyzes fundamental ideas and concepts related to neural networks, which provide the reader a theoretical explanation of Long Short-Term Memory (LSTM) networks operation classified as Deep Learning Systems, and to explicitly present the mathematical development of Backward Pass equations of the LSTM network model. This mathematical modeling associated with software development will provide the necessary tools to develop an intelligent system capable of predicting the behavior of licensed users in wireless cognitive radio networks. ER -