改进人工蜂群算法优化进化神经网络，提升模型预测精度

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.