Buscar
Mostrando ítems 21-30 de 466
Predicting body and carcass characteristics of 2 broiler chicken strains using support vector regression and neural network models
(Poultry Science Assoc Inc, 2012-12-01)
As a new modeling method, support vector regression (SVR) has been regarded as the state-of-the-art technique for regression and approximation. In this study, the SVR models had been introduced and developed to predict ...
Pruning neural network for architecture optimization applied to near-infrared reflectance spectroscopic measurements. Determination of the nitrogen content in wheat leaves
(Royal Soc ChemistryCambridgeInglaterra, 1999)
Applying a general regression neural network for predicting development effort of short-scale programs
(2011)
Software development effort prediction is considered in several international software processes as the Capability Maturity Model-Integrated (CMMi), by ISO-15504 as well as by ISO/IEC 12207. In this paper, data of two kinds ...
Applying a general regression neural network for predicting development effort of short-scale programs
(2011)
Software development effort prediction is considered in several international software processes as the Capability Maturity Model-Integrated (CMMi), by ISO-15504 as well as by ISO/IEC 12207. In this paper, data of two kinds ...
ELLIPSE PERIMETER ESTIMATION USING NON- PARAMETRIC REGRESSION OF RBF NEURAL NETWORK BASED ON ELLIPTIC INTEGRAL OF THE SECOND TYPEELLIPSE PERIMETER ESTIMATION USING NON- PARAMETRIC REGRESSION OF RBF NEURAL NETWORK BASED ON ELLIPTIC INTEGRAL OF THE SECOND TYPE
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
Software development effort prediction of industrial projects applying a general regression neural network
(2012)
An important factor for planning, budgeting and bidding a software project is prediction of the development effort required to complete it. This prediction can be obtained from models related to neural networks. The ...