RSNNS: SnnsRObject-createNet – R documentation

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SnnsRObject-createNet

Create a layered network

Description

This function creates a layered network in the given SnnsR object. This is an SnnsR low-level function. You may want to have a look at SnnsR-class to find out how to properly use it.

Usage

## S4 method for signature 'SnnsR'
createNet(unitsPerLayer, fullyConnectedFeedForward = TRUE, iNames = NULL, oNames = NULL)

Arguments

`unitsPerLayer`	a vector of integers that represents the number of units in each layer, including input and output layer
`fullyConnectedFeedForward`	if `TRUE`, the network is fully connected as a feed-forward network. If `FALSE`, no connections are created
`iNames`	names of input units
`oNames`	names of output units

Examples

obj1 <- SnnsRObjectFactory()
obj1$createNet(c(2,2), FALSE)
obj1$getUnitDefinitions()

obj2 <- SnnsRObjectFactory()
obj2$createNet(c(8,5,5,2), TRUE)
obj2$getUnitDefinitions()

RSNNS

Neural Networks using the Stuttgart Neural Network Simulator (SNNS)

v0.4-12

LGPL (>= 2) | file LICENSE

Authors

Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Andreas Zell [ctb] (Part of original SNNS development team), Niels Mache [ctb] (Part of original SNNS development team), Günter Mamier [ctb] (Part of original SNNS development team), Michael Vogt [ctb] (Part of original SNNS development team), Sven Döring [ctb] (Part of original SNNS development team), Ralf Hübner [ctb] (Part of original SNNS development team), Kai-Uwe Herrmann [ctb] (Part of original SNNS development team), Tobias Soyez [ctb] (Part of original SNNS development team), Michael Schmalzl [ctb] (Part of original SNNS development team), Tilman Sommer [ctb] (Part of original SNNS development team), Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team), Dietmar Posselt [ctb] (Part of original SNNS development team), Tobias Schreiner [ctb] (Part of original SNNS development team), Bernward Kett [ctb] (Part of original SNNS development team), Martin Reczko [ctb] (Part of original SNNS external contributors), Martin Riedmiller [ctb] (Part of original SNNS external contributors), Mark Seemann [ctb] (Part of original SNNS external contributors), Marcus Ritt [ctb] (Part of original SNNS external contributors), Jamie DeCoster [ctb] (Part of original SNNS external contributors), Jochen Biedermann [ctb] (Part of original SNNS external contributors), Joachim Danz [ctb] (Part of original SNNS development team), Christian Wehrfritz [ctb] (Part of original SNNS development team), Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3), Andre El-Ama [ctb] (Contributors to SNNS Version 4.3)

Initial release

2019-09-16