in this paper a new method is introduced and investigated for removing the destabilizing effects of time-delay parameter in control loops. the concept of the method is taken from the knowledge concerning the dynamic behaviour of irrational transfer functions (ir-tf), which is discussed and investigated elswhere in frequency response domain and is explained briefly here. ir-tfs, which are well c...

Neural network is one of the new soft computing methods commonly used for prediction of the thermodynamic properties of pure fluids and mixtures. In this study, we have used this soft computing method to predict the coefficients of the Antoine vapor pressure equation. Three transfer functions of tan-sigmoid (tansig), log-sigmoid (logsig), and linear were used to evaluate the performance of diff...

Rome, Sept 19 Oct 3, 2010, Moscow, Oct 10 Oct 24, 2010 Carmine Di Fiore In questi appunti si introducono e si studiano le matrici circolanti, τ e Toeplitz, le algebre di Hessenberg e le decomposizioni di dislocamento, gli spazi di classe V e le migliori approssimazioni nel senso dei minimi quadrati in tali spazi. Come conseguenza dei risultati presentati, la scelta delle matrici coinvolte nelle...

The polarization in multiplet lines is calculated by coupling an anisotropic ensity operator p, of an excited electron to the density operator p , , , ; of an unpo:arized or core. For pel a pure angular momentum state is tested, whereas different assumptions are tried for pCorG. It is demonstrated, that the time delay .rlbetween the successive beam-projectile interactions, which create pcore an...

Nous proposons un algorithme simple mais efficace pour la détection des positions de la battue dans les signaux musicaux. Le concept de matrice “DeltaPhase” est présenté. Il s’agit de représenter l’évolution de la phase de la battue par rapport à la période correspondant à un tempo estimé au préalable. Le chemin optimal dans la matrice “delta-phase” est déterminé grâce à de la programmation dyn...

RÉSUMÉ. L’hypothèse de cluster est l’hypothèse fondamentale de l’utilisation du clustering dans la recherche d’information. Elle indique que les documents semblables ont tendance à être pertinents pour la même requête. Des travaux passés testent intensivement cette hypothèse avec les méthodes de la classification ascendante hiérarchique (CAH). Mais leurs conclusions ne sont pas cohérentes en te...

An optimal artificial neural network (ANN) has been developed to predict the Nusselt number of non-Newtonian nanofluids. The resulting ANN is a multi-layer perceptron with two hidden layers consisting of six and nine neurons, respectively. The tangent sigmoid transfer function is the best for both hidden layers and the linear transfer function is the best transfer function for the output layer....