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]