eclipse的关于org.eclipse.ui的报错

寻殇触觞 2017-03-11 10:42:16

!ENTRY org.eclipse.ui 2 2 2017-03-11 22:38:39.966
!MESSAGE Ignored attempt to add saveable that was already registered
!STACK 0
org.eclipse.core.runtime.AssertionFailedException: unknown saveable: org.eclipse.ui.internal.DefaultSaveable@cb56e6 from part: org.eclipse.ui.internal.ErrorEditorPart@cb56e6
at org.eclipse.ui.internal.SaveablesList.logWarning(SaveablesList.java:187)
at org.eclipse.ui.internal.SaveablesList.addModel(SaveablesList.java:117)
at org.eclipse.ui.internal.SaveablesList.addModels(SaveablesList.java:289)
at org.eclipse.ui.internal.SaveablesList.postOpen(SaveablesList.java:695)
at org.eclipse.ui.internal.PartList.partOpened(PartList.java:234)
at org.eclipse.ui.internal.PartList.access$0(PartList.java:210)
at org.eclipse.ui.internal.PartList$1.propertyChanged(PartList.java:40)
at org.eclipse.ui.internal.WorkbenchPartReference.fireInternalPropertyChange(WorkbenchPartReference.java:375)
at org.eclipse.ui.internal.WorkbenchPartReference.getPart(WorkbenchPartReference.java:610)
at org.eclipse.ui.internal.EditorReference.getEditor(EditorReference.java:289)
at org.eclipse.ui.internal.WorkbenchPage.busyOpenEditorBatched(WorkbenchPage.java:2945)
at org.eclipse.ui.internal.WorkbenchPage.busyOpenEditor(WorkbenchPage.java:2850)
at org.eclipse.ui.internal.WorkbenchPage.access$11(WorkbenchPage.java:2842)
at org.eclipse.ui.internal.WorkbenchPage$10.run(WorkbenchPage.java:2793)
at org.eclipse.swt.custom.BusyIndicator.showWhile(BusyIndicator.java:70)
at org.eclipse.ui.internal.WorkbenchPage.openEditor(WorkbenchPage.java:2789)
at org.eclipse.ui.internal.WorkbenchPage.openEditor(WorkbenchPage.java:2773)
at org.eclipse.ui.internal.WorkbenchPage.openEditor(WorkbenchPage.java:2756)
at cn.com.max.editor.TheaterAddEditor$1.widgetSelected(TheaterAddEditor.java:128)
at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:240)
at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:84)
at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1053)
at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4165)
at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3754)
at org.eclipse.ui.internal.Workbench.runEventLoop(Workbench.java:2696)
at org.eclipse.ui.internal.Workbench.runUI(Workbench.java:2660)
at org.eclipse.ui.internal.Workbench.access$4(Workbench.java:2494)
at org.eclipse.ui.internal.Workbench$7.run(Workbench.java:674)
at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:332)
at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:667)
at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:149)
at cn.com.max.core.Application.start(Application.java:39)
at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196)
at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110)
at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79)
at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:344)
at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:622)
at org.eclipse.equinox.launcher.Main.basicRun(Main.java:577)
at org.eclipse.equinox.launcher.Main.run(Main.java:1410)
at org.eclipse.equinox.launcher.Main.main(Main.java:1386)

请问一下这个eclipse报错是什么意思?是什么原因引起的呢?
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内容概要:本文提出一种基于鱼鹰优化算法(OOA)优化的CNN-BiGUR-Attention混合模型,用于提升短期风电功率预测的精度与稳定性,采用Matlab实现代码仿真。该模型融合卷积神经网络(CNN)提取输入数据的局部空间特征,利用双向门控循环单元(BiGUR)捕捉风速、功率等时间序列的前后向动态依赖关系,并引入注意力机制自适应强化关键时间步的特征权重,从而增强模型对非平稳风电数据的表征能力;进一步,采用OOA算法对模型超参数进行全局寻优,有效提升模型收敛速度与泛化性能。研究基于实际风电场历史数据开展实验验证,结果表明,该方法相较传统模型在预测精度、鲁棒性和误差抑制方面表现更优,适用于高比例可再生能源接入背景下的电力系统调度需求。; 适合人群:从事新能源发电预测、电力系统优化调度、智能算法与深度学习融合应用等方向的科研人员及工程技术人员,尤其适合具备Matlab编程能力、熟悉时间序列建模与深度学习框架的研究者。; 使用场景及目标:①实现风电场短期功率高精度预测,支撑电网安全稳定调度与能量管理;②为深度学习模型结构设计与智能优化算法联合调参提供实践范例;③推动人工智能技术在可再生能源预测、智能电网运行等领域的落地应用。; 阅读建议:建议结合提供的Matlab代码深入理解CNN-BiGUR-Attention网络架构搭建、注意力机制实现方式及OOA优化流程,重点关注数据预处理、模型训练与参数调优细节,可通过替换不同风电数据集进行对比实验,进一步掌握模型迁移能力与适应性。

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