Towards The Development of an Index to Measure the Performance of Multi-Productivity Areas

This work employs a neural network (NN) approach and a multiple regression modeling approach to model and predict the software development effort based on an available real

measure based on minimum variance index has been shown to provide an optimal performance measure that can be used as a measure against which the output response of a

The study aims to compares the performance of an existing model, the FICO and an alternative model, based on cluster analysis method with dataset available.. This

A análise do turismo pela geografia é realizada a partir de uma diversidade de olhares e percepções do espaço geográfico transformado pelo turismo ao redor do mundo,

In the present work, the development of a nonlinear controller, based on a neural network inverse model (ANN controller), was proposed and tested to manipulate

Optimizing the measure of performance per unit of time is equivalent to optimize the measure of performance over a long period. Thus, the cost model in this paper is based in

The neural network model is far better than the regression based models proposed as well as the other available in literature for the prediction of the penetration depth in

In this paper, parameters of an equilibrium job search model are estimated, where firms may differ in terms of labor productivity, based on six metropolitan areas located in