class.nnn.6 {Sojourn.Data}R Documentation

Triaxial neural network for original Sojourn method

Description

Triaxial neural network for original Sojourn method

Usage

class.nnn.6

Format

From print(class.nnn.6):

a 22-25-4 network with 767 weights inputs: X50. X75. X90. acf X10.2 X25.2 X50.2 X75.2 X90.2 acf.2 X25.3 X50.3 X75.3 X90.3 acf.3 X10.vm X25.vm X50.vm X75.vm X90.vm acf.vm inact.durations output(s): train.6$act.type options were - skip-layer connections softmax modelling decay=0.03


[Package Sojourn.Data version 0.3.0 Index]