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nnetpredint (version 1.2)

Prediction Intervals of Multi-Layer Neural Networks

Description

Computing prediction intervals of neural network models (e.g.backpropagation) at certain confidence level. It can take the output from models trained by other packages like 'nnet', 'neuralnet', 'RSNNS', etc.

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Version

Install

install.packages('nnetpredint')

Monthly Downloads

9

Version

1.2

License

GPL (>= 2)

Maintainer

Xichen Ding

Last Published

December 21st, 2015

Functions in nnetpredint (1.2)

jacobian

Jacobian Matrix of Gradient Function for Training Datasets
activate

Neuron Activation Function
sigmoid

Internal Functions
transWeightListToVect

Transform the List of Optimal Weights to a Numeric Vector
nnetPredInt

Prediction Intervals of Neural Networks