matlab中epochs

引用的代码中，通过设置net.trainParam.epochs=100来设定训练次数为100次。在构建三层bp神经网络模型时，你可以根据具体需求来设定epochs的值。通常情况下，可以通过观察训练误差的变化来判断epochs的合适取值。当训练误差趋于稳定或不再显著下降时，可以认为网络已经收敛，此时可以停止训练。<em>1</em><em>2</em><em>3</em>
#### 引用[.reference_title]
- *1* [Neural Network in matlab stops after 0 epochs and cuts layer connections](https://blog.csdn.net/qq_42438350/article/details/116191850)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}} ] [.reference_item]
- *2* *3* [matlab中的神经网络怎么用,matlab怎么搭建神经网络](https://blog.csdn.net/wenangou/article/details/127404384)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}} ] [.reference_item]
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