rbf神经网络 函数逼近
时间: 2023-10-10 08:11:52 浏览: 87
RBF(径向基)神经网络是一种用于函数逼近的神经网络模型。它通过将输入值映射到高维特征空间中的径向基函数,然后使用线性组合来逼近目标函数。对于一元函数逼近,可以使用RBF神经网络来拟合待逼近的函数。你可以通过给定的代码来实现这个过程。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [使用RBF神经网络实现函数逼近](https://blog.csdn.net/m0_37602827/article/details/87691307)[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* [TensorFlow学习--函数逼近(RBF神经网络)](https://blog.csdn.net/TI__boyue/article/details/105404403)[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 ]