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R
RSNNS

SnnsRObject-getWeightMatrix

Get the weight matrix between two sets of units

Description

SnnsR low-level function to get the weight matrix between two sets of units.

Usage

## S4 method for signature 'SnnsR'
getWeightMatrix(unitsSource, unitsTarget, setDimNames)

Arguments

unitsSource

a vector with numbers identifying the source units
unitsTarget

a vector with numbers identifying the target units
setDimNames

indicates, whether names of units are extracted and set as row/col names in the weight matrix

Value

the weight matrix between the two sets of neurons

See Also

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

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