有三种方法实现该效果，依赖于应用服务器环境以及是否在全局事务中有任何其它的具有XAResource能力的资源管理器。
There are three ways of achieving this outcome depending on the application server environment and if there are any other XAResource capable resource managers participating in the global transaction.
结果表明该控制器具有较好的控制效果。
The results of the experiments show, the controller has better control effects.
用BP人工神经网络分类器进行识别，结果表明矩特征的识别率较高，说明该方法具有良好的应用效果。
The recognition with BP artificial neural net grader shows that the recognition rate of moment features is rather high, this indicates that this method has better applicable effect.
应用推荐