STATISTICAL MODELS, SV REGRESSION MODELS AND SOFT NEURAL NETWORKS: AN APPLICATION TO THE INPUT-OUTPUT FUNCTION ESTIMATION OF SALES PROCESSES

摘要

This article discusses statistical, SVM models and fuzzy logic neural network as new managerial tools for finding the input/output function of sales processes for industrial companies. The study reviews experimental results, discusses, analytically and numerically demonstrates the quality and interpretability of the obtained results.