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A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
(IEEE, 2006)
A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and ...
A numerical method for frequency determination in the astable cellular neural networks with opposite-sign templates
(IEEE, 2006)
In this study a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron ...
Support vector machines based target tracking techniques [Destek vektör makineleri tabanlı hedef takip yöntemleri]
(2006)
This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ...
Near field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]
(2006)
In this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the near-field of the antenna array. ML estimation algorithm ...
On sectional curvatures of a Weyl manifold
(2006)
In this paper it is proved that if at each point of a Weyl manifold the sectional curvature is independent of the plane chosen then the Weyl manifold is locally conformal to an Einstein manifold and that the scalar curvature ...
A numerical method for frequency determination in the astable cellular neural networks with opposite-sign templates
(2006)
In this study, a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron ...