dnn.weights {EGAnet}R Documentation

Loadings Comparison Test Deep Learning Neural Network Weights

Description

A list of weights from four different neural network models: random vs. non-random model (r_nr_weights), low correlation factor vs. network model (lf_n_weights), high correlation with variables less than or equal to factors vs. network model (hlf_n_weights), and high correlation with variables greater than factors vs. network model (hgf_n_weights)

A list of weights from four different neural network models: random vs. non-random model (r_nr_weights), low correlation factor vs. network model (lf_n_weights), high correlation with variables less than or equal to factors vs. network model (hlf_n_weights), and high correlation with variables greater than factors vs. network model (hgf_n_weights)

Usage

data(dnn.weights)

data(dnn.weights)

Format

A list of with a length of 4

A list of with a length of 4

Examples

data("dnn.weights")

data("dnn.weights")


[Package EGAnet version 1.1.0 Index]