search

schrum2 / MM-NEATv2

MM-NEAT version 2.0 is no longer supported. Please get MM-NEAT 3+ from https://github.com/schrum2/MM-NEAT
Other
11 stars 5 forks source link

Different way of defining convolutional structure #460

Closed schrum2 closed 7 years ago

schrum2 commented 7 years ago

After some back-and-forth email with Phillip Verbancsics, I've learned that he encoded convolutional structure with HyperNEAT differently than I have. His coordinates are x, y, f, z: x = x coordinate inside particular substrate y = y coordinate inside particular substrate f = feature: at a given layer (z value) the features are splayed out from left to right z = actual layer/depth.

Also, in all dimensions, including f and z, he mapped from -1 to 1.

When actually connecting the neuron at (x1,y1,f1,z1) to (x2,y2,f2,z2) the actual HyperNEAT network inputs used delta offsets, as follows: (x2, y2, f2, z2, x2 – x1, y2 – y1, f2 – f1, z2 – z1)

I should make a new parameter called "convolutionalDeltas" that sets up the connections in this way.

schrum2 commented 7 years ago

Completed in MM-NEAT 3+: https://github.com/schrum2/MM-NEAT/issues/19