Models For Calculating Confidence Intervals For Neural Networks by Ashutosh Nandeshwar | 9783639105483 | Paperback | Barnes & Noble
Models For Calculating Confidence Intervals For Neural Networks

Models For Calculating Confidence Intervals For Neural Networks

by Ashutosh Nandeshwar
     
 

ISBN-10: 3639105486

ISBN-13: 9783639105483

Pub. Date: 12/10/2008

Publisher: VDM Verlag

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 back-propagation algorithm with

Overview

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 back-propagation 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.

Product Details

ISBN-13:
9783639105483
Publisher:
VDM Verlag
Publication date:
12/10/2008
Pages:
132
Product dimensions:
6.00(w) x 9.00(h) x 0.28(d)

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