训练过程采用了改进的人工蜂群算法对进化神经网络对神经网络的权重和偏置进行优化提高模型的预测精度。人工蜂群算法作为一种全局搜索算法可以有效地探索模型参数空间寻找最佳的模型参数组合以提升预测精度。将这句话翻译成中文

The training process uses an improved artificial bee colony algorithm to optimize the weights and biases of the evolutionary neural network, improving the prediction accuracy of the model. As a global search algorithm, the artificial bee colony algorithm can effectively explore the model parameter space, find the best combination of model parameters to improve prediction accuracy.