Grasshopper

algorithmic modeling for Rhino

Mesh Fitter | 2-Dimensional Self-Organizing Maps using Crow in Grasshopper

New Grasshopper Plugin - Crow0.2 - Demo
This videos shows the use of the plug-in Crow for Grasshopper in Rhino5. It employs artificial neural networks - specifically a 2-dimensional Kohonen layer, known as self-organizing maps - to fit data vectors of arbitrary dimensions through a set of given training data. Since data in this example is comprised of position data of a point cloud and the network topology can be directly translated into a mesh structure, it is used to fit (tubular) meshes through point clouds.
Crow is an extension of NeuronDotNet.dll developed by the NeuronDotNetTeam

Get Crow here:
http://www.felbrich.com/projects/Crow/Crow.html

Views: 288

Comment

You need to be a member of Grasshopper to add comments!

Join Grasshopper

Comment by Mohamed Naeim on June 26, 2016 at 7:05pm

Impressiv

Comment by Fred Becquelin on May 28, 2016 at 1:53am

super cool!

About

Translate

Search

© 2018   Created by Scott Davidson.   Powered by

Badges  |  Report an Issue  |  Terms of Service