Title :
An Experiment on the Design of Radial Basis Function Neural Networks for Software Cost Estimation
Author :
Idri, Ali ; Abran, Alain ; Mbarki, Samir
Author_Institution :
Dept. of Software Eng., Mohamed V Univ., Rabat
Abstract :
This paper is concerned with the use of radial basis function (RBF) neural networks for software cost estimation. The study is devoted to the design of these networks, especially their middle layer composed of receptive fields, using two clustering techniques: the C-means and the APC-III algorithms. A comparison between an RBFN using C-means and an RBFN using APC-III, in terms of estimates accuracy, is hence presented. This study is based on the COCOMO´81 dataset
Keywords :
radial basis function networks; software cost estimation; APC-III algorithms; C-means clustering; COCOMO´81 dataset; radial basis function neural networks; software cost estimation; Artificial neural networks; Biological system modeling; Clustering algorithms; Computer architecture; Cost function; Electronic mail; Neural networks; Neurons; Programming; Radial basis function networks;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684625
