Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach

We present a novel approach, using a Generalized Regression Neural Networks (GRNN) ensemble to the forecasting of time series and future volatility.. The remainder of this paper

In this paper, two models: regression based model and neural network based model for predicting productivity performance index for construction firms are

In this paper, a numerical speed estimation approach of a piezo-electric motor (PEM) is implemented using multi- layer perception neural network (MLP-NN).. The

This paper presents a nonintrusive load identification and characterization model with real power and impedance by using artificial neural network.. The approach involved the use

A NEW APPROACH FOR ESTIMATION OF PVT PROPERTIES OF PURE GASES BASED ON ARTIFICIAL NEURAL NETWORK MODEL.. However, the success estimation of such correlations depends mainly on

The agent-oriented modeling approach that has been exploited is based on the Tropos software development methodology [2]. It offers both a visual modeling language and some

de Campos Velho, An inverse initial condition problem in heat conduction: a neural network approach, Braz.. on

In line with this, artificial neural network technology of backpropagation neural network (BPNN), radial basis function neural network (RBFNN) and generalized regression