We propose a generalized S-Parameter analysis for transmission lines with linear/nonlinear load terminations subject to arbitrary plane wave and port excitations. S-parameters are prevalently used to model transmission lines such as cable bundles and interconnects on printed circuit boards subject to port excitations. The conventional S-parameter approach is well suited to characterize interact...

The aim of this work is to draw a comparison of four variants of the Evolutionary Search with Soft Selection (ESSS) algorithms based on selected parameter optimization problems. They are tested with nine objective functions, most of them being strongly non-linear and multimodal. From the results obtained it follows that all modified ESSS algorithms are more effective and generally faster than t...

Networks based on basis set function expansions, such as the Radial Basis Function (RBF), or Separable Basis Function (SBF) networks, have non-linear parameters that are not trivial to optimize. Clustering techniques are frequently used to optimize positions for localized functions. Context-dependent fuzzy clustering techniques improve convergence of parameter optimization, leading to better ne...

banking and financial services are important parts of the service industry. quality of service in the banking industry has a close relationship with customer satisfaction service system. banks could create competitive advantage by increasing customer satisfaction and reduce costs in today's competitive environment. this paper presents a decision-making model to obtain optimum tasks assigne...

In this paper, forced vibration analysis of a single-layered graphene sheet (SLGS) under moving a nanoparticle is carried out using the non-local elasticity theory of orthotropic plate. The SLGS under moving the nanoparticle is placed in the elastic and viscoelastic foundation which are simulated as a Pasternak and Visco-Pasternak medium, respectively. Movement of the nanoparticle is considered...

Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, it is possible to model the physical systems accurately. This paper deals with time-domain id...

We provide input-output stability conditions for additive recurrent neural networks regarding them as dynamical operators between their input and output function spaces. The stability analysis is based on methods from non-linear feedback system theory and includes the case of time-varying weights, for instance introduced by on-line adaptation. The results assure that there are regions in weight...