Systems Modeling Using Deep Elman Neural Network

被引：0

作者：

Salah, Latifa Belhaj ^{[1
]}

Fourati, Fathi ^{[2
]}

机构：

[1] Univ Gabes, CEM Lab, Gabes, Tunisia

[2] Univ Sfax, CEM Lab, Sfax, Tunisia

来源：

ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH | 2019年 / 9卷 / 02期

关键词：

Elman neural network; recurrent neural network; deep learning; complex systems; modeling; PREDICTION;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, the modeling of complex systems using deep Elman neural network architecture is improved. The emphasis is to retrieve better deep Elman structure that emulates perfectly such dynamic systems. To achieve this goal, sigmoid activation functions in the hidden and output layer nodes are chosen and data files on considered systems for modeling and validation steps are given. Simulation results prove the ability and the efficiency of a deep Elman neural network with two hidden layers in this task.

引用

页码：3881 / 3886

页数：6

共 35 条

[1] Deep Elman recurrent neural networks for statistical parametric speech synthesis
Achanta, Sivanand
Gangashetty, Suryakanth V.
[J]. SPEECH COMMUNICATION, 2017, 93 : 31 - 42
[2] Unsupervised feature learning and automatic modulation classification using deep learning model
Ali, Afan
Fan Yangyu
[J]. PHYSICAL COMMUNICATION, 2017, 25 : 75 - 84
[3] Computationally intelligent strategies for robust fault detection, isolation, and identification of mobile robots
Baghernezhad, F.
Khorasani, K.
[J]. NEUROCOMPUTING, 2016, 171 : 335 - 346
[4] Deep learning with adaptive learning rate using laplacian score
Chandra, B.
Sharma, Rajesh K.
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2016, 63 : 1 - 7
[5] Multitask Learning of Deep Neural Networks for Low-Resource Speech Recognition
Chen, Dongpeng
Mak, Brian Kan-Wing
[J]. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2015, 23 (07) : 1172 - 1183
[6] Big Data Deep Learning: Challenges and Perspectives
Chen, Xue-Wen
Lin, Xiaotong
[J]. IEEE ACCESS, 2014, 2 : 514 - 525
[7] Deng L, 2013, IEEE INT NEW CIRC
[8] FINDING STRUCTURE IN TIME
ELMAN, JL
[J]. COGNITIVE SCIENCE, 1990, 14 (02) : 179 - 211
[9] Fan Y., 2014, INTERSPEECH 2014
[10] Evaluating deep learning architectures for Speech Emotion Recognition
Fayek, Haytham M.
Lech, Margaret
Cavedon, Lawrence
[J]. NEURAL NETWORKS, 2017, 92 : 60 - 68

← 1 2 3 4 →