|
Descripción
|
|
|---|---|
| One of the biggest challenges that software developers face is to make an accurate estimate of the project effort. Radial basis function neural networks have been used to software effort estimation in this work using NASA dataset. This paper evaluates and compares radial basis function versus a regression model. The results show that radial basis function neural network have obtained less Mean Square Error than the regression method. | |
|
Internacional
|
Si |
|
JCR del ISI
|
No |
|
Título de la revista
|
International Journal Information Theories and Applications |
|
ISSN
|
1310-0513 |
|
Factor de impacto JCR
|
|
|
Información de impacto
|
|
|
Volumen
|
21 |
|
DOI
|
|
|
Número de revista
|
4 |
|
Desde la página
|
319 |
|
Hasta la página
|
327 |
|
Mes
|
SIN MES |
|
Ranking
|
|