def _initialize_network(self, dimensions):
# Generate the node map for initial GSOM layer - for all the inputs
self.gsom_nodemap = {
'0:0':
Elements.GSOMNode(
0, 0, np.random.rand(dimensions),
np.zeros((self.parameters.NUMBER_OF_TEMPORAL_CONTEXTS - 1,
self.dimensions))),
'0:1':
Elements.GSOMNode(
0, 1, np.random.rand(dimensions),
np.zeros((self.parameters.NUMBER_OF_TEMPORAL_CONTEXTS - 1,
self.dimensions))),
'1:0':
Elements.GSOMNode(
1, 0, np.random.rand(dimensions),
np.zeros((self.parameters.NUMBER_OF_TEMPORAL_CONTEXTS - 1,
self.dimensions))),
'1:1':
Elements.GSOMNode(
1, 1, np.random.rand(dimensions),
np.zeros((self.parameters.NUMBER_OF_TEMPORAL_CONTEXTS - 1,
self.dimensions))),
}
def _grow_individual_node(self, x, y, winner, node_map):
new_node_index = Utils.Utilities.generate_index(x, y)
if new_node_index not in node_map:
weights = self._generate_new_node_weights(node_map, winner, x, y)
node_map[new_node_index] = Elements.GSOMNode(
x, y, weights[0], weights[1:])
