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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Models for Calculating Confidence Intervals for Neural Networks

Models for Calculating Confidence Intervals for Neural Networks

Nandeshwar, Ashutosh

Paperback

Technology & Engineering

ISBN10: 3639105486
ISBN13: 9783639105483
Publisher: Blues Kids Of Amer
Published: Dec 10 2008
Pages: 132
Weight: 0.41
Height: 0.28 Width: 6.00 Depth: 9.00
Language: English
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.

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