Models for Calculating Confidence Intervals for Neural Networks - Ashutosh Nandeshwar - Boeken - VDM Verlag - 9783639105483 - 10 december 2008
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Models for Calculating Confidence Intervals for Neural Networks

Ashutosh Nandeshwar

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Models for Calculating Confidence Intervals for Neural Networks

This books provides the methodology of analyzing existing models to calculate confidence intervals on the results of neural networks. The three techniques for determining confidence intervals determination were the non-linear regression, the bootstrapping estimation, and the maximum likelihood estimation. The neural network used the back­propagation algorithm with an input layer, one hidden layer and an output layer with one unit. The hidden layer had a logistic or binary sigmoidal activation function and the output layer had a linear activation function. These techniques were tested on various data sets with and without additional noise. The ranges and standard deviations of the coverage probabilities over 15 simulations for the three techniques were computed.

Media Boeken     Paperback Book   (Boek met zachte kaft en gelijmde rug)
Vrijgegeven 10 december 2008
ISBN13 9783639105483
Uitgevers VDM Verlag
Pagina's 132
Afmetingen 185 g
Taal en grammatica Engels   Duits