40 search results - page 7 / 8 » Preventing Computational Chaos in Asynchronous Neural Networ... |
ICONIP
2008
13 years 7 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 )...
IS
2010
13 years 4 months ago
2010
— Few systems have been developed for the detection of fatigue / stress level of a vehicular driver in order to monitor and control the alertness level for preventing road accide...
Publication
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
ICML
1996
IEEE
14 years 7 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
COLCOM
2009
IEEE
13 years 10 months ago
2009
IEEE
This paper describes the architecture and implementation of a Java-based appliance for collaborative review of crashes involving injured children in order to determine mechanisms o...