| 1. | If you have a global error handler , it takes precedence over error handling specified in the
如果您具有全局错误处理程序，则它优先于在 |
| 2. | This section describes how to check for errors in your pages and create global error handlers
本节介绍如何检查页面中的错误以及如何创建全局错误处理程序。 |
| 3. | Provides steps for creating a global error handler to catch unhandled errors anywhere in an asp . net web application
提供有关步骤，说明如何创建在asp . net web应用程序中的任意位置捕获未处理错误的全局错误处理程序。 |
| 4. | Create a global error handler at the page or application level that catches all unhandled exceptions and routes them to a generic error page
在捕捉所有未处理异常并将它们发送到一般错误页的页级别或应用程序级别上，创建全局错误处理程序。 |
| 5. | Element in the configuration file to redirect to a custom error page and creating a global error handler that is called if an unhandled exception occurs anywhere in the application
元素以重定向到自定义错误页，并创建一个在应用程序任意位置出现未处理的异常时进行调用的全局错误处理程序。 |
| 6. | 4 ) posteriori error estimation based on superconvergent patch recovery ( spr ) is introduced , and afem is established according to global error estimation and local error estimation
4 )引入基于超收敛条恢复( supereonvergentpatchreeovery ，简称spr )的后验误差估计法，建立了基于全局误差估计和局部误差估计的自适应有限元法。 |
| 7. | Afem based on global error estimate rebuild mesh according to " refinement factor " . as a result , global error is distributed on every element and adaptive optimization method could be used on element
基于全局误差估计的自适应有限元法根据单元“细化因子”对网格进行重新划分，从而使整个声场空间的误差分担到各个单元上，对单元进行自适应优化处理。 |
| 8. | At present , during the course of bp neural network ' s learning and training , we often adopt the algorithm of back - error propagation , which is based on global error function ' s gradient descent
特别是bp网络近年来广泛应用于模式识别、预测评估等领域，并取得良好的效果。目前bp网络采用误差逆传播算法学习训练神经网络，该算法是基于网络误差函数梯度下降的。 |
| 9. | At present , during the course of bp neural network ' s learning and training , we often adopt the algorithm of back - error propagation , which is based on global error function ' s gradient descent , whose essence is a point - to - point search algorithm
目前bp神经网络采用误差逆传播算法学习训练神经网络，该算法是基于网络误差函数梯度下降的，其本质是点到点的搜索方法。 |
| 10. | With explicit runge - kutta methods for particle tracing , richardson extrapolation and re - integration ( with a smaller tolerance ) are used to estimate global error of the tracing path . the methods of visualizing error are also described
针对显式runge - kutta法的粒子跟踪，采用richardson外推、改变单步误差容限重复积分等方法对误差作出了估计，并实现了误差的可视化。 |
