This paper presents an approach to adapt the suppression and scaling factor from a single input single output (SISO) dynamic matrix controller (DMC) thought a multiobjective optimization algorithm. To optimize, a nonlinear neural network (NN) process model is used, combined with a multiobjective evolutionary algorithm called SPEA II (Strength Pareto Evolutionary Algorithm) to find better contro...

Objective: To examine the impact of race and ethnicity on financial charges associated with radical cystectomy (RC). Methods: The Nationwide Inpatient Sample was used to identify patients who underwent RC between January 1 1998 and December 31 2010. The primary outcome was hospital charges adjusted for inflation. Multivariable analysis was performed using a fully-adjusted generalized linear mod...

In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiated discrete Weibull (EDW) distribution in presence of randomly right censored data. We also consider inclusion a cure fraction model. The performance approach is assessed by conducting an extensive simulation study with different sample sizes values parameters EDW distribution. usefuness proposed...

In this article, four new families named as Weibull extended exponentiated-X (WEE-X), Lomax (LEE-X), Logistic (LGCEE-X), and Burr III (BIIIEE-X) with their quantile functions are proposed. The expressions for distribution function density of BIIIEE-X family written in terms linear combinations the exponentiated densities based to parent model. New models, i.e., Weibul (WEEW), (LEEW), (LGCEEW), ...

This paper introduces and evaluates a natural extension of linear exponentiated gradient methods that makes them applicable to reinforcement learning problems. Just as these methods speed up supervised learning, we nd that they can also increase the ef-ciency of reinforcement learning. Comparisons are made with conventional reinforcement learning methods on two test problems using CMAC function...

This paper presents a method to predict the relative objective weighting scheme necessary to cause arbitrary members of a Pareto solution set to become optimal. First, a polynomial description of the Pareto set is constructed utilizing simulation and high performance computing. Then, using geometric relationships between the member of the Pareto set in question, the location of the utopia point...

A new generalization of the Lindley distribution is recently proposed by Ghitany et al. [1], called as the power Lindley distribution. Another generalization of the Lindley distribution was introduced by Nadarajah et al. [2], named as the generalized Lindley distribution. This paper proposes a more generalization of the Lindley distribution which generalizes the two. We refer to this new genera...