def create_fullyconnected_net(num_nodes, rescale_frac=0.999, noise_std=0.0, random_initial_state=False,
symmetric=False, feedforward=False, connection_rate=1.0):
net = EchoStateNetwork()
net.noise_std = noise_std
for k in range(num_nodes):
n = k
istate = 0.0
if random_initial_state:
istate = np.abs(np.random.randn())
net.create_node(n, initial_state=istate)
W = np.random.randn(num_nodes, num_nodes)
if symmetric:
for k1 in range(num_nodes):
for k2 in range(k1):
W[k2, k1] = W[k1, k2]
if feedforward:
for k1 in range(num_nodes):
for k2 in range(k1+1):
W[k1, k2] = 0.0
for k1 in range(num_nodes):
for k2 in range(num_nodes):
rn = np.random.rand()
if rn < connection_rate:
net.connect_nodes(k1, k2, W[k1, k2])
net.rescale_weights(rescale_frac)
return net
def create_inputless_net():
net = EchoStateNetwork()
net.create_node(1, initial_state=np.abs(np.random.randn()))
net.create_node(2, initial_state=np.abs(np.random.randn()))
net.create_node(3, initial_state=np.abs(np.random.randn()))
net.connect_nodes(1, 2, 1.0)
#net.connect_nodes(1, 3, 0.25)
net.connect_nodes(2, 3, 1.1)
net.connect_nodes(3, 1, 0.75)
net.compile()
return net