Models for Calculating Confidence Intervals for Neural Networks - Ashutosh Nandeshwar - Books - VDM Verlag - 9783639105483 - December 10, 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 Books     Paperback Book   (Book with soft cover and glued back)
Released December 10, 2008
ISBN13 9783639105483
Publishers VDM Verlag
Pages 132
Dimensions 185 g
Language English   German