algorithmic modeling for Rhino
During form-finding of funicular networks, dynamic weights that update per time-step relative to a local measure are interesting... not least because such systems often converge when intuition says they should explode.
For the case of a tensile spring network in 3 dimensions, the equilibrium result is funicular so long as the network is at most…Continue
Posted on December 20, 2016 at 7:41am — 9 Comments
Introducing a new component that generates a Self-Organising Map from high dimensional input data.
A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretised representation of the input…Continue
Posted on March 3, 2016 at 1:00pm — 11 Comments
Posted on August 3, 2015 at 5:32pm — 1 Comment
We work with such high level programming languages (such as C# or even Grasshopper itself) that we forget that underneath all that are ones and zeros being summed and all kinds of other things using tiny transistors and exotic materials to compute your Voronoi diagram or my personal favourite - the clean tree component (because the main input is at the bottom…Continue
Posted on July 10, 2015 at 2:00am — 2 Comments