hann
Hopfield Artificial Neural Networks
Builds and optimizes Hopfield artificial neural networks (Hopfield, 1982, <doi:10.1073/pnas.79.8.2554>). One-layer and three-layer models are implemented. The energy of the Hopfield network is minimized with formula from Krotov and Hopfield (2016, <doi:10.48550/ARXIV.1606.01164>). Optimization (supervised learning) is done through a gradient-based method. Classification is done with S3 methods predict(). Parallelization with 'OpenMP' is used if available during compilation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling source/ R- | hann_1.2.tar.gz |
105.7 KiB |
1.2 |
rolling linux/jammy R-4.5 | hann_1.2.tar.gz |
152.5 KiB |
1.2 |
rolling linux/noble R-4.5 | hann_1.2.tar.gz |
152.6 KiB |
1.2 |
latest source/ R- | hann_1.2.tar.gz |
105.7 KiB |
1.2 |
latest linux/jammy R-4.5 | hann_1.2.tar.gz |
152.5 KiB |
1.2 |
latest linux/noble R-4.5 | hann_1.2.tar.gz |
152.6 KiB |
1.2 |
2026-04-23 source/ R- | hann_1.2.tar.gz |
105.7 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | hann_1.2.zip |
276.4 KiB |