| 摘要: |
| 运用附加动量法和自适应学习速率，对具有一层隐含层的BP网络进行改造，由此建立神经网络模型来计算作用在直墙上的波浪力，将试验值分别与合田良实公式、我国规范中的公式及本文计算结果对比后表明，神经网络模型可用于计算直墙上的波浪力。 |
| 关键词: 直墙 波浪力 附加动量法 计算 自适应学习速率 BP网络 神经网络 |
| DOI： |
| 分类号:TV139.26 TP183 |
| 基金项目: |
|
| Application of neural network in calculation of wave forces on vertical wall |
|
WANG Deng ting,ZUO Qi hua
|
| Abstract: |
| By use of the additional momentum method and auto adjustive learning rate, the BP(Back propagation) network with one hidden layer is modified, and a neural network model is established to calculate wave forces on a vertical wall. The comparison between the experimental values and the calculation results by Goda formula, the Chinese standard formula and the aforementioned method shows that the neural network model can be well used to predict wave forces on a vertical wall. |
| Key words: vertical wall,wave force,additional momentum method,auto adjustive learning rate,BP network,neural network |
