Learning to Walk Using a Recurrent Neural Network with Time Delay-Reference-Cited by-同舟云学术

Learning to Walk Using a Recurrent Neural Network with Time Delay

Published:2013 Issue: Volume: Page:511-518
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2013
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Author:

Ammar Boudour,Chouikhi Naima,Alimi Adel M.,Chérif Farouk,Rezzoug Nasser,Gorce Philippe

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-40728-4_64

Reference18 articles.

1. Ammar, B., Chérif, F., Alimi, A.M.: Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays. IEEE Transactions on Neural Networks and Learning System 23(1) (2012)

2. Azevedo, C., Poignet, P., Espinau, B.: Artificial locomotion control: from human to robots. Robotics and Autonomous Systems 47, 203–204 (2004)

3. Baccour, N., Kaaniche, H., Chtourou, M., Ben Jemaa, M.: Recurrent Neural Network based time series prediction: Particular design problems. In: International Conference on Smart Systems and Devices, SSD (2007)

4. Lecture Notes in Computer Science;S. Bouaziz,2012

5. Bousnina, S., Ammar, B., Baklouti, N., Alimi, M.A.: Learning system for mobile robot detection and tracking. In: International Conference on Communications and Information Technology, ICCIT, pp. 384–389 (June 2012)

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