%C Chengdu
%K Artificial Neural Network; Controlling process; Multiple regressions; Prognostic model; Project planning; Software installations; Traditional methodologies, Computer software; Computer software maintenance; Information management; Metal analysis; Model buildings; Regression analysis, Neural networks
%D 2010
%X Model building methodologies are playing an increasingly significant role in many aspects of software engineering activities. Today models are being applied right from requirement conceptualization to the final software installation and maintenance. Traditional methodologies however, fail to cope with increasing complexity and rapidly evolving nature of the software. The need for an efficient model building methodology is quite manifest today. The main objective of this study is to propose and implement a novel Model Building Methodology utilizing Artificial Neural Network (ANN). In order to achieve this objective, information related to regression analysis was reviewed. © 2010 IEEE.
%L scholars1206
%P 439-443
%A M.S.J. Gandapur
%A A.K.B. Mahmood
%A S.B. Sulaiman
%T Model building methodologies utilizing artificial neural network (ANN) for performance of project planning, implementation and controlling processes
%O cited By 0; Conference of 2010 2nd IEEE International Conference on Information Management and Engineering, ICIME 2010 ; Conference Date: 16 April 2010 Through 18 April 2010; Conference Code:81055
%V 3
%J ICIME 2010 - 2010 2nd IEEE International Conference on Information Management and Engineering
%R 10.1109/ICIME.2010.5477865