A Logistic Diffusion Model of Extended Warranty Data

The extended warranty is very important for business investors for effective warranty planning. This study develops a mixed model based on logistic diffusion function and artificial neural networks. A logistic function or logistic curve is the most common sigmoid curve. It models the S-curve of growth of some set. The initial stage of growth is approximately exponential; then, as saturation begins, the growth slows, and at maturity, growth stops. A popular neural net element computes a linear combination of its input signals, and applies a bounded logistic function to the result; this model can be seen as a \"Smoothed\" variant of the classical threshold neuron.

Provided by: Science and Development Network (SciDev.Net) Topic: Security Date Added: Jun 2013 Format: PDF

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