ALL.reg.nn

Uniaxial neural network for use in original triaxial Sojourn method

datasets

Stores objects (e.g. neural networks) that are needed for
using Sojourn accelerometer methods. For more information, see
Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014)
<doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ,
Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>,
and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018)
<doi:10.1249/MSS.0000000000001486>.

Paul Hibbins

Sojourn.Data

Supporting Objects for Sojourn Accelerometer Methods

Kate Lyden

ALL.reg.nn function

From print(ALL.reg.nn):<dl class="dl-horizontal">
a 6-25-1 network with 207 weights
inputs: X10. X25. X50. X75. X90. acf
output(s): oxy.METS.calculated
options were - skip-layer connections linear output units
</dl>

Format

Uniaxial neural network for use in original triaxial Sojourn method — ALL.reg.nn

From print(ALL.reg.nn):<dl class='dl-horizontal'>
a 6-25-1 network with 207 weights
inputs: X10. X25. X50. X75. X90. acf
output(s): oxy.METS.calculated
options were - skip-layer connections linear output units
</dl>

ALL.reg.nn: Uniaxial neural network for use in original triaxial Sojourn method

Description

Usage

Arguments

Format