The present investigation proposes a hybrid technique: Taguchi method, response surface methodology (RSM) and genetic algorithm (GA), to analyze, model and predict vibration and surface roughness in traverse cut cylindrical grinding of aluminum alloy. Experiments have been conducted as per L9 orthogonal array of Taguchi methodology using several levels of the grinding parameters. Analysis of va...

Multi-input multi-output (MIMO) dynamic matrix control (DMC) technique is applied to control steam temperatures in a large-scale ultrasupercritical once-through boiler–turbine system. Specifically, four output variables (i.e., outlet temperatures of platen superheater, finish superheater, primary reheater, and finish reheater) are controlled using four input variables (i.e., two spray valves, b...

in the present study, an application of multilevel modeling approach to the input- output analysis are presented first, the regional input-output table of all provinces in iran was extracted based on the adjusted flegg location quotient method (aflq). second differentiation in the leontief technical coefficients and the backward and forward linkages among various activities and sectors of all p...

This paper presents a new model for predicting the compressive strength of steel-confined concrete on circular concrete filled steel tube (CCFST) stub columns under axial loading condition based on Artificial Neural Networks (ANNs) by using a large wide of experimental investigations. The input parameters were selected based on past studies such as outer diameter of column, compressive strength...

Proposed methods for prediction interval estimation focus on cases where input variables are numerical. Since categorical input variables can also be represented using numerical variables, such methods are applicable to most datasets. We propose a new prediction interval estimation method tailored for datasets with nominal input variables. This method has two main phases: I) modeling the output...

background hospitals are highly resource-dependent settings, which spend a large proportion of healthcare financial resources. the analysis of hospital efficiency can provide insight into how scarce resources are used to create health values. this study examines the technical efficiency (te) of 12 teaching hospitals affiliated with tehran university of medical sciences (tums) between 1999 and 2...

Structural parameter identifiability is a property of differential model with parameters that allows for the to be determined from equations in absence noise. One standard approaches assessing this problem via input–output and, particular, characteristic sets ideals. The precise relation between and subtle. goal note clarify relation. main results are: We expect some these facts may known exper...