Package: leabRa 0.1.0.9000
leabRa: The Artificial Neural Networks Algorithm Leabra
The algorithm Leabra (local error driven and associative biologically realistic algorithm) allows for the construction of artificial neural networks that are biologically realistic and balance supervised and unsupervised learning within a single framework. This package is based on the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on the description of the algorithm by Randall O'Reilly (1996) <ftp://grey.colorado.edu/pub/oreilly/thesis/oreilly_thesis.all.pdf>. For more general (not 'R' specific) information on the algorithm Leabra see <https://grey.colorado.edu/emergent/index.php/Leabra>.
Authors:
leabRa_0.1.0.9000.tar.gz
leabRa_0.1.0.9000.zip(r-4.5)leabRa_0.1.0.9000.zip(r-4.4)leabRa_0.1.0.9000.zip(r-4.3)
leabRa_0.1.0.9000.tgz(r-4.4-any)leabRa_0.1.0.9000.tgz(r-4.3-any)
leabRa_0.1.0.9000.tar.gz(r-4.5-noble)leabRa_0.1.0.9000.tar.gz(r-4.4-noble)
leabRa_0.1.0.9000.tgz(r-4.4-emscripten)leabRa_0.1.0.9000.tgz(r-4.3-emscripten)
leabRa.pdf |leabRa.html✨
leabRa/json (API)
# Install 'leabRa' in R: |
install.packages('leabRa', repos = c('https://johannes-titz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/johannes-titz/leabra/issues
- animals - Small example data set for self-organized artificial neural networks
Last updated 7 years agofrom:237bc5c67c. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | NOTE | Oct 30 2024 |
R-4.5-linux | NOTE | Oct 30 2024 |
R-4.4-win | OK | Oct 30 2024 |
R-4.4-mac | OK | Oct 30 2024 |
R-4.3-win | OK | Oct 30 2024 |
R-4.3-mac | OK | Oct 30 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Small example data set for self-organized artificial neural networks | animals |
Leabra layer class | layer |
leabRa: A package for biologically realistic neural networks based on Leabra | leabRa-package leabRa |
Leabra network class | network |
Leabra unit (neuron) class | unit |