if __name__=='__main__':
inp, tgt = get_xor()
out_net = FeedforwardNetwork(2, [4], 1)
inp_net_1 = FeedforwardNetwork(2, [4], 2)
inp_net_2 = FeedforwardNetwork(2, [4], 2)
tgt_1 = [[0.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 0.0]]
tgt_2 = [[0.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 0.0]]
for i in range(500):
print("OutNet err: {:4.4f}".format(out_net.train(inp, tgt, 1)[0]),
"InpNet1 err: {:4.4f}".format(inp_net_1.train(inp, tgt_1, 1)[0]),
"InpNet2 err: {:4.4f}".format(inp_net_2.train(inp, tgt_2, 1)[0]))
metanet = MetaNet()
metanet.add_input_net(inp_net_1)
metanet.add_input_net(inp_net_2)
metanet.add_output_net(out_net)
metanet.connect_nets(inp_net_1, out_net)
metanet.connect_nets(inp_net_2, out_net)
print("\nIntNet1 input = [1.0, 0.0], InpNet2 input = [0.0, 0.0]")
print("OutNet output = {:4.4f}".format(metanet.test([[1.0, 0.0], [0.0, 0.0]])[0][0]))
print("Must be -> 1.0")
metanet.draw_metanet()
out_net.draw_net()
inp_net_2 = FeedforwardNetwork(2, [4], 2)
out_net.name = 'out'
inp_net_1.name = 'inp1'
inp_net_2.name = 'inp2'
tgt_1 = [[0.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 0.0]]
tgt_2 = [[0.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 0.0]]
for i in range(500):
print("OutNet err: {:4.4f}".format(out_net.train(inp, tgt_1, 1)[0]),
"InpNet1 err: {:4.4f}".format(inp_net_1.train(inp, tgt_1, 1)[0]),
"InpNet2 err: {:4.4f}".format(inp_net_2.train(inp, tgt_2, 1)[0]))
metanet = MetaNet()
metanet.add_input_net(inp_net_1)
metanet.add_input_net(inp_net_2)
metanet.add_output_net(out_net)
metanet.connect_nets(inp_net_1, out_net)
metanet.connect_nets(inp_net_2, out_net)
metanet.connect_nets(out_net, inp_net_1)
metanet.connect_nets(out_net, inp_net_2)
print("\nIntNet1 input = [1.0, 0.0], InpNet2 input = [0.0, 0.0]")
print('-'*10)
print("OutNet output = {:4.4f}".format(metanet.test([[1.0, 0.0], [0.0, 0.0]], log_file='log.txt')[0][0]))
#metanet.simulate([[1.0, 0.0], [0.0, 0.0]], max_inter=4, log_file='log.txt')
print("Must be -> 0.0")
inp_net_2 = FeedforwardNetwork(2, [4], 2)
out_net.name = 'out'
inp_net_1.name = 'inp1'
inp_net_2.name = 'inp2'
tgt_1 = [[0.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 0.0]]
tgt_2 = [[0.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 0.0]]
for i in range(500):
print("OutNet err: {:4.4f}".format(out_net.train(inp, tgt_1, 1)[0]),
"InpNet1 err: {:4.4f}".format(inp_net_1.train(inp, tgt_1, 1)[0]),
"InpNet2 err: {:4.4f}".format(inp_net_2.train(inp, tgt_2, 1)[0]))
metanet = MetaNet()
metanet.add_input_net(inp_net_1)
metanet.add_input_net(inp_net_2)
metanet.add_output_net(out_net)
metanet.connect_nets(inp_net_1, out_net)
metanet.connect_nets(inp_net_2, out_net)
metanet.connect_nets(out_net, inp_net_1)
metanet.connect_nets(out_net, inp_net_2)
metanet.name = 'MetaNet'
metanet.add_action_on_active(lambda x: print(x.get_name(), 'activation found'),
lambda net: net.get_out_state()[0][0] > 0.4)
inp_net_1.add_action_on_active(lambda x: print(x.get_name(),