The paper is a report describing using PLAANN as a classification tool for customer intelligence in banking. PLAANN is a software tool consisting of several ANN based classifiers, which are trained using the population learning algorithm (PLA). The paper reviews briefly PLA, explains its application to training ANN, describes functions and operation modes of PLAANN and, finally, reports on expe...

The distribution of the density of mass in several simple model systems is analyzed. In particular, the relation between the localization of a particle and its mass is studied in detail. The dependence of the function describing mass density distribution on the choice of the reference point and, in this context, the process of emerging the molecular shape as a function of masses of the constitu...

We review supersymmetry models with and without R-parity. After briefly describing the Minimal Supersymetric Standard Model and its particle content we move to models where R–parity is broken, either spontaneously or explicitly. In this last case we consider the situation where R–parity is broken via bilinear terms in the superpotential. The radiative breaking of these models is described in th...

The notion of frequency response functions has been generalized to nonlinear systems in several ways. However, a relation between different approaches has not yet been established. In this paper, frequency domain representations for nonlinear systems are uniquely connected. Specifically, by means of novel analytical results, the generalized frequency response function (GFRF) and the higher orde...