PREDICTING SUCCESS OF ICT PROJECTS THROUGH ARTIFICIAL NEURAL NETWORKS

MARY LUZ MOURONTE LÓPEZ

doi:https://doi.org/10.6036/9724

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PREDICTING SUCCESS OF ICT PROJECTS THROUGH ARTIFICIAL NEURAL NETWORKS

SEPTEMBER 2020 - Volume: 95 - Pages: 460

DOI:

https://doi.org/10.6036/9724

Authors:

MARY LUZ MOURONTE LÓPEZ

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Key words:: Redes neuronales, proyectos TIC, proceso de ventas, predicción de éxito, resultados de negocio, Neural networks, ITC projects, sales process, prediction of success, business results
Article type:: NOTA TECNICA / TECHNICAL NOTE
Section:: TECHNICAL NOTE

There are different kinds of Artificial Neural Networks (ANN): Feed-Forward (FF), Radial Basis Function (RBF), Multi-Layer Perceptron (MLP), Convolutional, Recurrent Neural Network (RNN), Modular, Sequence-To-Sequence Models, which have different fields of application. In this research, which arose from the requirement to optimize the business results of a large company in the Information and Communication Technologies (ICT) sector, the possibilities of success of any ICT project through the use of ANN are estimated.

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