PSO-LSTM粒子群优化LSTM神经网络(python)
时间: 2023-08-28 18:16:23 浏览: 133
PSO-LSTM是一种使用粒子群优化算法来优化长短期记忆神经网络(LSTM)的神经网络模型。它主要应用于多变量输入和单变量输出的回归问题。该模型的目标是预测沪深300指数的价格。 引用 引用 引用<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [PSO粒子群优化-LSTM-优化神经网络神经元个数dropout和batch_size](https://blog.csdn.net/qq_30803353/article/details/122462049)[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^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [回归预测 | MATLAB实现PSO-LSTM(粒子群优化长短期记忆神经网络)多输入单输出](https://blog.csdn.net/kjm13182345320/article/details/123660044)[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^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]