有没有办法用pybrain写出最终的权重(在所有时期结束后)？

from pybrain.tools.shortcuts import buildNetwork
from pybrain.supervised.trainers import BackpropTrainer
from pybrain.datasets import SupervisedDataSet

# 定义神经网络结构
input_size = 2
hidden_size = 3
output_size = 1
net = buildNetwork(input_size, hidden_size, output_size)

# 准备训练数据
dataset = SupervisedDataSet(input_size, output_size)
dataset.addSample([0, 0], [0])
dataset.addSample([0, 1], [1])
dataset.addSample([1, 0], [1])
dataset.addSample([1, 1], [0])

# 创建训练器
trainer = BackpropTrainer(net, dataset)

# 训练神经网络
epochs = 100
learning_rate = 0.01
trainer.trainEpochs(epochs, learning_rate)

# 获取最终权重
final_weights = net.params
print(final_weights)