Tezos

Cellular Neural Network #1

Creator

tz1Yb9mrEBSsv35doLWovF4Dmwy2q4won9oa

Description

Cellular Neural Networks or Cellular Nonlinear Networks (CNN) are similar to Cellular Automata (CA): a grid of cells that evolve in time with local interactions with neighbouring cells. Instead of a finite number of states for each cell (as for the CA) in CNN the cells can assume continuous values given from a chaotic oscillator and the local interactions are due to the coupling of oscillators in neighbouring cells. With CNN is possible to model a number of physical systems described by Partial Differential Equations: Wave propagation, Heat Diffusion, Chemical Reaction-Diffusion and the likes. In this case we have a Lorenz chaotic oscillator on each cell coupled with the 8 neighbouring oscillators. The initial conditions, boundary conditions and coupling constant are chosen in such a way to obtain symmetrical patterns. Colormap from matplotlib (flag). The rendering is by means of a C++ program with openFrameworks toolkit.

Traits

Tag

creativecoding

Tag

generativegraphics

Tag

openframeworks

Tag

cplusplus

Tag

ReactionDiffusion

Tag

chaos

Tag

chaoticoscillator

Tag

cellularneuralnetwork

Token

Contract: KT1RJ6...xton
Token ID: 609607

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