def __init__(self, shape, kernel_type):
super(ClassicalPCNN, self).__init__(shape)
'''
'''
self.v_theta = 150
self.Theta = np.ones(shape) * self.v_theta
self.W = choose_kernel(kernel_type)
self.M = choose_kernel(kernel_type)
def __init__(self, shape, kernel_type):
super(FLM, self).__init__(shape)
'''
'''
self.v_theta = 500
self.Theta = np.ones(shape) * self.v_theta
self.W = choose_kernel(kernel_type)
self.M = choose_kernel(kernel_type)
def __init__(self, shape, kernel_type):
super(ICM, self).__init__(shape)
'''
'''
# self.f = 0.5
# self.g = 0.45
self.v_theta = 150.
self.Theta = np.ones(shape) * self.v_theta
self.W = choose_kernel(kernel_type)
def __init__(self, shape, kernel_type):
super(SCM, self).__init__(shape)
'''
'''
# alpha_theta = 0.2
# alpha_f = 0.2
# self.f = np.exp(-alpha_f)
# self.g = np.exp(-alpha_theta)
self.v_theta = 500.
self.Theta = np.zeros(shape)
# self.W = np.array([[0.5, 1, 0.5], [0.5, 1, 0.5], [0.5, 1, 0.5]])
self.W = choose_kernel(kernel_type)