Engineering Technology and Applied Science Research, Volume (7), No (1), Year (2017-2) , Pages (1425-1428)

Title : ( Comparison of Multilayer Perceptron and Radial Basis Function in Predicting Success of New Product Development )

Authors: gholamreza soltani fesaghandis , Alireza Pooya , Mostafa Kazemi , Zahra Naji Azimi ,

Citation: BibTeX | EndNote

Given that the new product failure in practice entails huge costs for organizations, the need for competitive planning has led organizations to apply appropriate approaches in the competition; one of these approaches is to predict new product success before market entry. Accordingly, this study predicts NPD success by comparing MLP and RBF in clothing industry of Tabriz. This is an applied descriptive research. In order to collect data, a questionnaire with good validity and reliability was distributed among the population. MLP and RBF were used to analyze data. Based on MSE, RMSE and R2, data analysis showed that MLP had lower error than RBF in predicting NPD success.

Keywords

new product development; success prediction; artificial neural
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@article{paperid:1059194,
author = {Soltani Fesaghandis, Gholamreza and Pooya, Alireza and Kazemi, Mostafa and Naji Azimi, Zahra},
title = {Comparison of Multilayer Perceptron and Radial Basis Function in Predicting Success of New Product Development},
journal = {Engineering Technology and Applied Science Research},
year = {2017},
volume = {7},
number = {1},
month = {February},
issn = {2241-4487},
pages = {1425--1428},
numpages = {3},
keywords = {new product development; success prediction; artificial neural network},
}

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%0 Journal Article
%T Comparison of Multilayer Perceptron and Radial Basis Function in Predicting Success of New Product Development
%A Soltani Fesaghandis, Gholamreza
%A Pooya, Alireza
%A Kazemi, Mostafa
%A Naji Azimi, Zahra
%J Engineering Technology and Applied Science Research
%@ 2241-4487
%D 2017

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