@conference { ISI:000259298600002,
	title = {Software cost estimation models using Radial Basis Function Neural Networks},
	booktitle = {SOFTWARE PROCESS AND PRODUCT MEASUREMENT},
	series = {Lecture Notes in Computer Science},
	volume = {4895},
	year = {2008},
	note = {Joint Meeting of the International Workshop on Software Measurement (IWSM)/International Conference on Software Process and Product Measurement (MENSURA), Palma de Mallorca, SPAIN, NOV 05-07, 2007},
	pages = {21+},
	abstract = {Radial Basis Function Neural Networks (RBFN) have been recently studied due to their qualification as an universal function approximation. This paper investigates the use of RBF neural networks for software cost estimation, The focus of this study is on 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 a RBFN using C-means and a RBFN using APC-III, in terms of estimates accuracy, is hence presented. This study uses the COCOMO{\textquoteright}81 dataset and data on Web applications from the Tukutuku database.},
	isbn = {978-3-540-85552-1},
	issn = {0302-9743},
	author = {Idri, Ali and Zahi, Azeddine and Mendes, Emilia and Zakrani, Abdelali},
	editor = {CuadradoGallego, JJ and Braungarten, R and Dumke, RR and Abran, A}
}
