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ICTAI
2005
IEEE
15 years 12 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
IOR
2007
82views more  IOR 2007»
15 years 6 months ago
Compensating for Failures with Flexible Servers
We consider the problem of maximizing capacity in a queueing network with flexible servers, where the classes and servers are subject to failure. We assume that the interarrival ...
Sigrún Andradóttir, Hayriye Ayhan, D...
ICPR
2008
IEEE
16 years 23 days ago
Tracking of Arabidopsis thaliana root cells in time-lapse microscopy
In vivo observation of cells in the Arabidopsis thaliana root, by time-lapse confocal microscopy, is central to biology research. The research herein described is based on large a...
Monica Marcuzzo, Pedro Quelhas, Ana Maria Mendon&c...
ICCBR
2005
Springer
15 years 12 months ago
Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers
We focus on the problem of selecting the few vehicles in a fleet that are expected to last the longest without failure. The prediction of each vehicle’s remaining life is based o...
Anil Varma, Kareem S. Aggour, Piero P. Bonissone
AAMAS
2007
Springer
16 years 16 days ago
Optimal Control in Large Stochastic Multi-agent Systems
Abstract. We study optimal control in large stochastic multi-agent systems in continuous space and time. We consider multi-agent systems where agents have independent dynamics with...
Bart van den Broek, Wim Wiegerinck, Bert Kappen