Summary
In comparison with other usual statistical methods (MCO, logistic regression, discriminant analysis, AID), advantages of neural network with backpropagation are numerous and well known (non linear effects, distribution flee variables, low sensibility to outliers or missing variables). However, implementation and efficiency have not yet received a strong interest. The paper reviews comparative analyses and presents results obtained for prediction of a behaviour in Fund raising.
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Desmet, P. (1998). Comparison of the Predictivity of a Neural Network with Backpropagation with Those Using Linear Regression, Logistic and A.I.D. Methods for Direct Marketing Scoring. In: Aurifeille, JM., Deissenberg, C. (eds) Bio-Mimetic Approaches in Management Science. Advances in Computational Management Science, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2821-7_5
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DOI: https://doi.org/10.1007/978-1-4757-2821-7_5
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