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Learning algorithms for a class of neurofuzzy network and application
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2004)
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2011)
On Achieving Seamless IP Communications in Heterogeneous Vehicular Networks
(IEEE-Inst Electrical Electronics Engineers, 2015)
The supporting infrastructure and communications technologies for vehicular networking contexts are heterogeneous by nature. Large coverage access networks, such as 3G/4G, co-exist with wireless local area networks and ...
Recurrent neurofuzzy network in thermal modeling of power transformers
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
Artificial neural networks and clustering techniques applied in the reconfiguration of distribution systems
(Institute of Electrical and Electronics Engineers (IEEE), 2006-07-01)
One objective of the feeder reconfiguration problem in distribution systems is to minimize the power losses for a specific load. For this problem, mathematical modeling is a nonlinear mixed integer problem that is generally ...
Open and Standardized Resources for Smart Transducer Networking
(Institute of Electrical and Electronics Engineers (IEEE), 2009-10-01)
IEEE 1451 standard is intended to address the smart transducer interfacing problem in network environments. Usually, proprietary hardware and software are a very efficient solution for implementing the aforementioned ...
Z(bus) transmission network cost allocation
(Institute of Electrical and Electronics Engineers (IEEE), 2007-02-01)
This paper addresses the problem of allocating the cost of the transmission network to generators and demands. A physically-based network usage procedure is proposed. This procedure exhibits desirable apportioning properties ...
Tabu search algorithm for network synthesis
(Institute of Electrical and Electronics Engineers (IEEE), 2000-05-01)
Large scale combinatorial problems such as the network expansion problem present an amazingly high number of alternative configurations with practically the same investment, but with substantially different structures ...
Comparative studies on non-convex optimization methods for transmission network expansion planning
(Institute of Electrical and Electronics Engineers (IEEE), 1998-08-01)
We have investigated and extensively tested three families of non-convex optimization approaches for solving the transmission network expansion planning problem: simulated annealing (SA), genetic algorithms (GA), and tabu ...
Artificial neural networks and clustering techniques applied in the reconfiguration of distribution systems
(Institute of Electrical and Electronics Engineers (IEEE), 2006-07-01)
One objective of the feeder reconfiguration problem in distribution systems is to minimize the power losses for a specific load. For this problem, mathematical modeling is a nonlinear mixed integer problem that is generally ...