quantity_cluster)
input_layer = InputLayer(form_sample(size_sample),
output_layer,
size_sample=size_sample)
help_epoch = []
help_function = []
speed_function_start = 0.5
delta_function_start = 0.5
for i in range(epoch):
delta_function = (-i / (epoch + 1) + 1)
#delta_function = 1
speed_function = speed_function_start * e**(i / epoch)
k = input_layer.epoch(output_layer.weight_relation_vector,
output_layer.quantity_cluster, delta_function,
speed_function)
coordinates_input_sample = vizual_sample(QUANTITY_INPUT,
input_layer.size_sample,
input_layer.input_vector)
coordinates_output_weight = vizual_sample(
QUANTITY_INPUT, output_layer.quantity_cluster,
output_layer.weight_relation_vector)
plt.plot(coordinates_input_sample[0], coordinates_input_sample[1], 'ro')
#plt.plot(input_neuron_obj.input_vector[k][0], input_neuron_obj.input_vector[k][1], 'go')
plt.plot(coordinates_output_weight[0], coordinates_output_weight[1], 'bo')
plt.plot(input_layer.number[0], input_layer.number[1], 'gx')
plt.plot(output_layer.new_number[0], output_layer.new_number[1], 'rx')
plt.show()
