(H, p, var_noise, K)

(p_int, H, Pmax, var_noise)

(n_input, n_hidden_1, n_hidden_2, n_hidden_3, n_output)

(x, weights, biases,input_keep_prob,hidden_keep_prob)

(K, num_H, Pmax=1, Pmin=0, seed=2017)

(K, num_H, Pmax=1, Pmin=0, seed=2017)

(num_BS, num_User, num_H, Pmax=1, var_noise = 1)

(H, Py_p, NN_p, K, var_noise=1)

(X, model_location, save_name, n_input, n_output, n_hidden_1 = 200, n_hidden_2 = 80, n_hidden_3 = 80, binary=0

(X, Y,location, training_epochs=300, batch_size=1000, LR= 0.001, n_hidden_1 = 200,n_hidden_2 = 80,n_hidden_3 =