APIDEMO ACTIVITY 过场动画

动画过渡效果
本文介绍了一种使用Android平台实现自定义活动过渡动画的方法。通过监听按钮点击事件触发不同的动画效果,如淡入淡出和缩放动画。代码示例展示了如何使用`overridePendingTransition`来指定进入和退出动画资源。

public class Animation extends Activity {
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);

setContentView(R.layout.activity_animation);

// Watch for button clicks.
Button button = (Button)findViewById(R.id.fade_animation);
button.setOnClickListener(mFadeListener);
button = (Button)findViewById(R.id.zoom_animation);
button.setOnClickListener(mZoomListener);
}

private OnClickListener mFadeListener = new OnClickListener() {
public void onClick(View v) {
// Request the next activity transition (here starting a new one).
startActivity(new Intent(Animation.this, Controls1.class));
// Supply a custom animation. This one will just fade the new
// activity on top. Note that we need to also supply an animation
// (here just doing nothing for the same amount of time) for the
// old activity to prevent it from going away too soon.
overridePendingTransition(R.anim.fade, R.anim.hold);

API Level 5

Call immediately after one of the flavors of startActivity(Intent) or finish() to specify an explicit transition animation to perform next.

Parameters
enterAnim A resource ID of the animation resource to use for the incoming activity. Use 0 for no animation.
exitAnim A resource ID of the animation resource to use for the outgoing activity. Use 0 for no animation.

}
};

private OnClickListener mZoomListener = new OnClickListener() {
public void onClick(View v) {
// Request the next activity transition (here starting a new one).
startActivity(new Intent(Animation.this, Controls1.class));
// This is a more complicated animation, involving transformations
// on both this (exit) and the new (enter) activity. Note how for
// the duration of the animation we force the exiting activity
// to be Z-ordered on top (even though it really isn't) to achieve
// the effect we want.
overridePendingTransition(R.anim.zoom_enter, R.anim.zoom_exit);
}
};
}

<alpha xmlns:android="http://schemas.android.com/apk/res/android"
android:interpolator="@android:anim/accelerate_interpolator"
android:fromAlpha="0.0" android:toAlpha="1.0"
android:duration="@android:integer/config_longAnimTime" />

<set xmlns:android="http://schemas.android.com/apk/res/android"
android:interpolator="@android:anim/decelerate_interpolator">
<scale android:fromXScale="2.0" android:toXScale="1.0"
android:fromYScale="2.0" android:toYScale="1.0"
android:pivotX="50%p" android:pivotY="50%p"
android:duration="@android:integer/config_mediumAnimTime" />
</set>

<set xmlns:android="http://schemas.android.com/apk/res/android"
android:interpolator="@android:anim/decelerate_interpolator"
android:zAdjustment="top">
<scale android:fromXScale="1.0" android:toXScale=".5"
android:fromYScale="1.0" android:toYScale=".5"
android:pivotX="50%p" android:pivotY="50%p"
android:duration="@android:integer/config_mediumAnimTime" />
<alpha android:fromAlpha="1.0" android:toAlpha="0"
android:duration="@android:integer/config_mediumAnimTime"/>
</set>

内容概要:本文提出了一种基于融合鱼鹰算法和柯西变异的改进麻雀优化算法(OCSSA),用于优化变分模态分解(VMD)的参数,进而结合卷积神经网络(CNN)与双向长短期记忆网络(BiLSTM)构建OCSSA-VMD-CNN-BILSTM模型,实现对轴承故障的高【轴承故障诊断】基于融合鱼鹰和柯西变异的麻雀优化算法OCSSA-VMD-CNN-BILSTM轴承诊断研究【西储大学数据】(Matlab代码实现)精度诊断。研究采用西储大学公开的轴承故障数据集进行实验验证,通过优化VMD的模态数和惩罚因子,有效提升了信号分解的准确性与稳定性,随后利用CNN提取故障特征,BiLSTM捕捉时间序列的深层依赖关系,最终实现故障类型的智能识别。该方法在提升故障诊断精度与鲁棒性方面表现出优越性能。; 适合人群:具备一定信号处理、机器学习基础,从事机械故障诊断、智能运维、工业大数据分析等相关领域的研究生、科研人员及工程技术人员。; 使用场景及目标:①解决传统VMD参数依赖人工经验选取的问题,实现参数自适应优化;②提升复杂工况下滚动轴承早期故障的识别准确率;③为智能制造与预测性维护提供可靠的技术支持。; 阅读建议:建议读者结合Matlab代码实现过程,深入理解OCSSA优化机制、VMD信号分解流程以及CNN-BiLSTM网络架构的设计逻辑,重点关注参数优化与故障分类的联动关系,并可通过更换数据集进一步验证模型泛化能力。
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