Java源码实现的贝叶斯主观推理算法
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简介：
本作品介绍了一种基于Java源码实现的贝叶斯主观推理算法，通过详细解析其理论基础与实际应用过程，旨在探讨该算法在软件开发中的有效性和灵活性。
```java
package subjectivebayes;
import java.awt.Toolkit;
import javax.swing.SwingUtilities;
import javax.swing.UIManager;
import java.awt.Dimension;
/**
*
Title:
* *Description:
* *Copyright: Copyright (c) 2010
* * @author not attributable * @version 1.0 */ public class MyApp { boolean packFrame = false; /** * Construct and show the application. */ public MyApp() { EnterBayes frame = new EnterBayes(); if (packFrame) { frame.pack(); } else { frame.validate(); } Dimension screenSize = Toolkit.getDefaultToolkit().getScreenSize(); Dimension frameSize = frame.getSize(); if (frameSize.height > screenSize.height) { frameSize.height = screenSize.height; } if (frameSize.width > screenSize.width) { frameSize.width = screenSize.width; } frame.setLocation((screenSize.width - frameSize.width)/2, (screenSize.height - frameSize.height)/2); frame.setVisible(true); } /** * Application entry point. * * @param args String[] */ public static void main(String[] args) { SwingUtilities.invokeLater(new Runnable() { public void run() { try { UIManager.setLookAndFeel(UIManager.getSystemLookAndFeelClassName()); } catch (Exception exception) { exception.printStackTrace(); } new MyApp(); } }); } } ```全部评论 (0)
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