indicate that the mechanical properties such as Young's Modulus of thin films are significantly different from the bulk values. Due to the lack of proper understanding of the physics in the micro-scale domain the state-of-art estimation techniques are unreliable and often unfit for use for predicating the mechanical behavior of slight modifications of existing designs as well as new designs. Th...

In this work, we present the development of radial basis function circuits in CMOS technology. Two one-dimensional circuits, namely RBF1 and RBF2, are proposed for radial basis function realization, and their functionality is demonstrated by SPICE simulations and by their implementation with commercial MOSFET array integrated circuits. Multidimensional capability is demonstrated by the implemen...

Due to remarkable capabilities of artificial neural networks (ANNs) such as generalization and nonlinear system modeling, ANNs have been extensively studied and applied in a wide variety of applications (Amiri et al., 2007; Davande et al., 2008). The rapid development of ANN technology in recent years has led to an entirely new approach for the solution of many data processing-based problems, u...

In Section 4.5, we introduced several methods that use the RBFN as a classifier. This section introduces another classification method called the learning classifier system (LCS), proposed by John Holland [62]. The learning classifier system is a rule-based, message-passing, machine learning paradigm designed to process environmental stimuli, much like the input-to-output mapping provided by a ...

Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction methods cannot be used. One solution is to use Functional Data Analysis (FDA). In FDA an interpolating function is fitted to the data and the fitting coefficients are being analyzed instead of the original data points. ...

This paper proposes a novel passivity cascade technique (PCT)-based control for nonlinear inverted pendulum systems. Its main objective is to stabilize the pendulum’s upward states despite uncertainties and exogenous disturbances. The proposed framework combines estimation properties of radial basis function neural networks (RBFNs) with attributes framework. unknown terms system are estimated u...

Mitigating switching overvoltages (SOVs) and conducting well-suited insulation coordination for handling stresses are very important in UHV transmission Lines. The best strategy in the absence of arresters is controlled switching (CS). Although elaborate works on electromagnetic transients are considered in the process of designing transmission systems, such works are not prevalent in day-to-da...