boxdist

(To be removed) Distance between two position vectors

boxdist will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

d = boxdist(pos)

boxdist is a layer distance function that is used to find the distances between the layer’s neurons, given their positions.

d = boxdist(pos) takes one argument,

pos

N-by-S matrix of neuron positions

and returns the S-by-S matrix of distances.

boxdist is most commonly used with layers whose topology function is gridtop.

Here you define a random matrix of positions for 10 neurons arranged in three-dimensional space and then find their distances.

pos = rand(3,10);
d = boxdist(pos)

To change a network so that a layer’s topology uses boxdist, set net.layers{i}.distanceFcn to 'boxdist'.

In either case, call sim to simulate the network with boxdist.

The box distance D between two position vectors Pi and Pj from a set of S vectors is

Dij = max(abs(Pi-Pj))

Introduced before R2006a

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boxdist will be removed in a future release.

To learn more about supported mathematical and deep learning operations and layers, see these examples and topics: