A neuro-computational intelligence analysis of the global consumer software piracy rates

摘要: Software piracy represents a major damage to the moral fabric associated with respect of intellectual property. The rate software appears be increasing globally, suggesting that additional research uses new approaches is necessary evaluate problem. study remedies previous econometric and methodological shortcomings by applying Bayesian, robust evolutionary computation regression algorithms formally test empirical literature on piracy. To gain further insights into at global level, also five neuro-computational intelligence methodologies: multi-layer perceptron neural network (MLP), probabilistic (PNN), radial basis function (RBF), generalized (GRNN) Kohonen's self-organizing maps (SOM) classify, predict cluster rates among 102 nations. At this shows significantly affected wealth nation as measured gross domestic product (GDP), nation's expenditure development judicial efficiency. models outperform traditional statistical techniques such analysis, discriminant analysis in predicting, classifying clustering due their robustness flexibility modeling algorithms.