The program pnn implements the algorithm proposed by Specht (1990). It is written in the R statistical language. It solves a common problem in automatic learning. Knowing a set of observations described by a vector of quantitative variables, we classify them in a given number of groups. Then, the algorithm is trained with this datasets and should guess afterwards the group of any new observation. This neural network has the main advantage to begin generalization instantaneously even with a small set of known observations. It is delivered with four functions (learn, smooth, perf and guess) and a dataset. The functions are documented with examples and provided with unit tests.

Documentation

Manual: pnn.pdf
Vignette: None available.

Maintainer: Pierre-Olivier Chasset <pierre-olivier at chasset.net>

Author(s): Pierre-Olivier Chasset

Install package and any missing dependencies by running this line in your R console:

install.packages("pnn")

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Suggests testthat, roxygen2, rgenoud
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Package pnn
Materials
URL http://flow.chasset.net/pnn/
Task Views
Version 1.0.1
Published 2013-05-07
License AGPL
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks pnn check results
Package source pnn_1.0.1.tar.gz