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CEC
2009
IEEE
14 years 2 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
IEAAIE
1994
Springer
13 years 11 months ago
Applying Blackboard Techniques to Real-Time Signal Processing and Multimedia Network Management
Two recent projects at ORA have used a blackboard framework during system design.1 DANA is a multimedia network monitoring system, while MARRS is a real-time passive radar system....
Randall J. Calistri-Yeh
CEC
2007
IEEE
13 years 11 months ago
Double-deck elevator systems using Genetic Network Programming with reinforcement learning
Abstract-- In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator syst...
Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jin...
IJCNN
2008
IEEE
14 years 2 months ago
Robust adaptive control via neural linearization and four types of compensation
— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Wen Yu, Xiaoou Li
TWC
2010
13 years 2 months ago
A novel CAC scheme for homogeneous 802.11 networks
This paper proposes a new call admission control (CAC) scheme for one-hop homogeneous 802.11 DCF networks. Using the proposed scheme, we can perform admission control quickly and e...
Qinglin Zhao, Danny H. K. Tsang, Taka Sakurai