786 search results - page 48 / 158 » The Recurrent Control Neural Network |
ICONIP
2008
14 years 11 months ago
2008
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
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IEAAIE
2005
Springer
15 years 3 months ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Feedback circuits are important for understanding the emergence of patterns of neural activity. In this contribution we study how a delayed circuit representing a recurre...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
ESWA
2007
14 years 9 months ago
2007
In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...