In the J2EE Model 2 architecture, a servlet is the UI controller, responsible for getting input data, calling some back-end business logic, and then deciding what JSP to forward to.
在J2EE Model 2体系结构中,Servlet是UI控制器,负责获取输入数据,调用某些后端的业务逻辑,然后决定转发到哪一个JSP。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
以人工神经网络的前馈型网络为基础结构,基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
Combining grey system theory with the feature of series data, a grey interpolation approach based on forward and back grey prediction model is proposed.
根据灰色系统理论和序列数据的特性,提出一种灰插值方法。
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