accurate prediction of municipal solid waste’s quality and quantity is crucial for designing and programming municipal solid waste management system. but predicting the amount of generated waste is difficult task because various parameters affect it and its fluctuation is high. in this research with application of feed forward artificial neural network, an appropriate model for predicting the...

‎in this paper‎, ‎an approach based on statistical spline model (ssm) and collocation method is proposed to solve volterra-fredholm integral equations‎. ‎the set of collocation nodes is chosen so that the points yield minimal error in the nodal polynomials‎. ‎under some standard assumptions‎, ‎we establish the convergence property of this approach‎. ‎numerical results on some problems are given...

This paper analyzes the predictive performance of standard techniques for the ‘logical analysis of data’ (LAD), within a probabilistic framework. It does so by bounding the generalization error of related polynomial threshold functions in terms of their complexity and how well they fit the training data. We also quantify the predictive accuracy in terms of the extent to which there is a large s...

This report analyses the predictive performance of standard techniques for the ‘logical analysis of data’ (LAD), within a probabilistic framework. Improving and extending earlier results, we bound the generalization error of classifiers produced by standard LAD methods in terms of their complexity and how well they fit the training data. We also obtain bounds on the predictive accuracy which de...

We consider infinitely dimensional classes of functions and instead the relative error setting, which was used in previous papers on integral norm discretization, we absolute setting. demonstrate how known results from two areas research – supervised learning theory numerical integration can be sampling discretization square different function classes. prove a general result, shows that sequenc...

The coupled tank liquid level control system approximated by the second order plus time delay (SOPTD) model was considered and the proposed improved relay tuning method was applied to calculate the corrected ultimate gain (Ku). It was found that the error in calculation of ultimate gain by proposed methods has been reduced considerably than that of conventional method. The corrected Ku was used...

In terms of damping low frequency oscillation, power system stabilizer(PSS) plays a very key role. However, in terms of PSS capability exploitation, it is quite important to select the suitable parameters assignment. Different from traditional optimization algorithms with eigenvalue analysis based and with system damping ratio as the aim function, in this paper a new PSS parameters method based...

This paper deals with speed control of DC drive fed from parallel QRC. In this work the GA optimization technique is successfully applied for speed control of QRC fed DC drive. In general PI controllers are used as conventional feedback controllers but the advent of Fuzzy logic controllers (FLC) enhances the effectiveness of control. In addition the drive fed from Zero current switching Quasi-r...

in this article, a numerical method based on  improvement of block-pulse functions (ibpfs) is discussed for solving the system of linear volterra and fredholm integral equations. by using ibpfs and their operational matrix of integration, such systems can be reduced to a linear system of algebraic equations. an efficient error estimation and associated theorems for the proposed method are also ...