reg.nn: Uniaxial neural network for use in the original uniaxial...
In Sojourn.Data: Supporting Objects for Sojourn Accelerometer Methods
Description
Uniaxial neural network for use in the original uniaxial Sojourn method
Usage
1
Format
From print(reg.nn):
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
Sojourn.Data documentation built on May 3, 2021, 5:06 p.m.
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Description
Uniaxial neural network for use in the original uniaxial Sojourn method
Usage
1 |
Format
From print(reg.nn): 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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