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Published 20 hours ago • verified publisher icon AdrienGuille
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Simple implementation of the "growing neural gas" artificial neural network

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Graph' object has no attribute 'node

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When running example.py, just for testing, this happened GrowingNeuralGas/gng.py", line 83, in fit_network self.network.node[s_1]['error'] += spatial.distance.euclidean(observation, self.network.node[s_1]['vector'])**2 AttributeError: 'Graph' object has no attribute 'node

donkarlo avatar donkarlo

Moving topological heighbours

Good afternoon. Noticed a bug in implementation, probably. I suppose you should update a weight of a neighbour n by moving it to the observed point x. So that way...

NandreyN avatar NandreyN

Instead of removing the nodes and edges while iterating over graph, nodes and edges are added to two lists and then removed the entire collection from the graph.

These modifications are needed to be compliant with the new version of networkX

zutotonno avatar zutotonno

Wrong neighbor update

Currently the neighbors are updated with the same vector as the winning node. They should have individually computed update vectors.

philipjhj avatar philipjhj

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verified publisher icon AdrienGuille

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Simple implementation of the "growing neural gas" artificial neural network

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