In this paper we propose a new way to combine classifiers trained and diverged by NCL that leads to superior results in compare with averaging and DTs methods alone. In the proposed method after training classifiers by NCL, DTs and averaging are employed independently to combine them and then the outputs are combined again by averaging. For the second level combination, support vectors are scal...

Consider a one-mass system with two degrees of freedom, nonlin-early coupled, with parametric excitation in one direction. Assuming the internal resonance 1:2 and parametric resonance 1:2 we derive conditions for stability of the trivial solution by using both the harmonic balance method and the normal form method of averaging. If the trivial solution becomes unstable a stable periodic solution...

The conservation of the Hamiltonian structures in Whitham's method of averaging. Abstract The work is devoted to the proof of the conservation of local field-theoretical Hamiltonian structures in Whitham's method of averaging. The consideration is based on the procedure of averaging of local Pois-son bracket, proposed by B.A.Dubrovin and S.P.Novikov. Using the Dirac procedure of restriction of ...

This paper derives a radiative transfer equation from first principles to model the energy density of (mono-frequency) high frequency waves propagating in a random medium composed of localized scatterers. The correlation length of the random scatterers is small compared to the overall distance of propagation so that ensemble averaging may take place. The paper also considers the detection and i...

this paper will introduce a new method to obtain the order weightsof the ordered weighted averaging (owa) operator. we will first show therelation between fuzzy quantifiers and neat owa operators and then offer anew combination of them. fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. in using neat operators,the ordering of the inputs is not...

The connection between the " Strutinsky level density " and the semiclassical level density. Abstract We establish an analytical link between the level density obtained by means of the Strutinsky averaging method, and the semiclassical level density. This link occurs only in the " asymptotic limit ". This latter is also the necessary condition of the " old " problem of the independence of the S...

This paper proposes a group decision making method based on entropy of neutrosophic linguistic sets and generalized single valued neutrosophic linguistic operators. This method is applied to solve the multiple attribute group decision making problems under single valued neutrosophic liguistic environment, in which the attribute weights are completely unknown. First, the attribute weights are ob...

When using linear models, a common practice is to find the single best model fit used in predictions. This on the other hand can cause potential problems such as misspecification and sometimes even wrong models due to spurious regression. Another method of predicting models introduced in this study as Jackknife Model Averaging developed by Hansen & Racine (2012). This assigns weights to all pos...