Rohde99

From emergent
Jump to: navigation, search

Back to Comparison of Neural Network Simulators

LENS: The light, efficient network simulator

On Google Scholar

Abstract

LENS is a neural network simulator designed for speed and ease of customization. On large networks, LENS is several times faster than most commonly used simulators. Although intended primarily for backpropagation networks, it also currently supports deterministic Boltzmann machines and Kohonen networks and could easily be extended to other Hebbian or Bayesian models. LENS is written entirely in the C and Tcl languages and operates on both Unix and Windows platforms. This report gives a brief overview of LENS and describes some of the interesting aspects of its design.

BibTeX

@article{Rohde99,
  title={{LENS: The light, efficient network simulator}},
  author={Rohde, D.L.T.},
  journal={Software package available at www. cs. cmu. edu/dr/Lens/},
  year={1999}
}