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git-svn-id: svn+ssh://svn.sourceforge.jp/svnroot/simplenn/trunk@11 dd34cd95-496f...
authoru6k <u6k@dd34cd95-496f-4e97-851c-65f59ff6709a>
Sat, 19 Apr 2008 20:45:39 +0000 (20:45 +0000)
committeru6k <u6k@dd34cd95-496f-4e97-851c-65f59ff6709a>
Sat, 19 Apr 2008 20:45:39 +0000 (20:45 +0000)
simplenn/src/main/java/jp/gr/java_conf/u6k/simplenn/SimpleNNApplet.java
simplenn/src/main/resources/random.txt
simplenn/src/main/resources/result.txt

index 07d9f83..6d1fae9 100644 (file)
@@ -63,308 +63,308 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   X0              = 10;\r
+    private static final int    X0              = 10;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   X1              = 125;\r
+    private static final int    X1              = 125;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   Y0              = 55;\r
+    private static final int    Y0              = 55;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   Y1              = 70;\r
+    private static final int    Y1              = 70;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   Y2              = 160;\r
+    private static final int    Y2              = 160;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   Y3              = 240;\r
+    private static final int    Y3              = 240;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   Y4              = 305;\r
+    private static final int    Y4              = 305;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   RX0             = 30;\r
+    private static final int    RX0             = 30;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   RX1             = 60;\r
+    private static final int    RX1             = 60;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   RX2             = 210;\r
+    private static final int    RX2             = 210;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   RX3             = 260;\r
+    private static final int    RX3             = 260;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   RY0             = 225;\r
+    private static final int    RY0             = 225;\r
 \r
     /**\r
      * <p>\r
      * 文字列とかの表示基準座標。\r
      * </p>\r
      */\r
-    private static final int   RY1             = 240;\r
+    private static final int    RY1             = 240;\r
 \r
     /**\r
      * <p>\r
      * 入力データの幅。\r
      * </p>\r
      */\r
-    private static final int   WIDTH           = 7;\r
+    private static final int    WIDTH           = 7;\r
 \r
     /**\r
      * <p>\r
      * 入力データの高さ。\r
      * </p>\r
      */\r
-    private static final int   HEIGHT          = 11;\r
+    private static final int    HEIGHT          = 11;\r
 \r
     /**\r
      * <p>\r
      * 入力層の数(入力データ数)。\r
      * </p>\r
      */\r
-    private static final int   INPUT           = SimpleNNApplet.WIDTH * SimpleNNApplet.HEIGHT;\r
+    private static final int    INPUT           = SimpleNNApplet.WIDTH * SimpleNNApplet.HEIGHT;\r
 \r
     /**\r
      * <p>\r
      * 隠れ層の数。\r
      * </p>\r
      */\r
-    private static final int   HIDDEN          = 16;\r
+    private static final int    HIDDEN          = 16;\r
 \r
     /**\r
      * <p>\r
      * パターンの種類。\r
      * </p>\r
      */\r
-    private static final int   PATTERN         = 10;\r
+    private static final int    PATTERN         = 10;\r
 \r
     /**\r
      * <p>\r
      * 出力層の数(出力データ数)。\r
      * </p>\r
      */\r
-    private static final int   OUTPUT          = SimpleNNApplet.PATTERN;\r
+    private static final int    OUTPUT          = SimpleNNApplet.PATTERN;\r
 \r
     /**\r
      * <p>\r
      * 外部サイクル(一連のパターンの繰返し学習)の回数。\r
      * </p>\r
      */\r
-    private static final int   OUTER_CYCLES    = 100;\r
+    private static final int    OUTER_CYCLES    = 100;\r
 \r
     /**\r
      * <p>\r
      * 内部サイクル(同一パターンの繰返し学習)の回数。\r
      * </p>\r
      */\r
-    private static final int   INNER_CYCLES    = 100;\r
+    private static final int    INNER_CYCLES    = 100;\r
 \r
     /**\r
      * <p>\r
      * 学習の加速係数。\r
      * </p>\r
      */\r
-    private static final float ALPHA           = 1.2f;\r
+    private static final double ALPHA           = 1.2;\r
 \r
     /**\r
      * <p>\r
      * シグモイド曲線の傾斜。\r
      * </p>\r
      */\r
-    private static final float BETA            = 1.2f;\r
+    private static final double BETA            = 1.2;\r
 \r
     /**\r
      * <p>\r
      * 「再学習」ボタン。\r
      * </p>\r
      */\r
-    private Button             button1;\r
+    private Button              button1;\r
 \r
     /**\r
      * <p>\r
      * 「学習終了」ボタン。\r
      * </p>\r
      */\r
-    private Button             button2;\r
+    private Button              button2;\r
 \r
     /**\r
      * <p>\r
      * 「入力クリア」ボタン。\r
      * </p>\r
      */\r
-    private Button             button3;\r
+    private Button              button3;\r
 \r
     /**\r
      * <p>\r
      * 「認識」ボタン。\r
      * </p>\r
      */\r
-    private Button             button4;\r
+    private Button              button4;\r
 \r
     /**\r
      * <p>\r
      * 「状態出力」ボタン。\r
      * </p>\r
      */\r
-    private Button             button5;\r
+    private Button              button5;\r
 \r
     /**\r
      * <p>\r
      * 学習用入力。\r
      * </p>\r
      */\r
-    private int[]              sampleIn        = new int[SimpleNNApplet.INPUT];\r
+    private int[]               sampleIn        = new int[SimpleNNApplet.INPUT];\r
 \r
     /**\r
      * <p>\r
      * 認識用手書き入力。\r
      * </p>\r
      */\r
-    private int[]              writtenIn       = new int[SimpleNNApplet.INPUT];\r
+    private int[]               writtenIn       = new int[SimpleNNApplet.INPUT];\r
 \r
     /**\r
      * <p>\r
      * 入力層と隠れ層の間の重み係数。\r
      * </p>\r
      */\r
-    private float[][]          weightInHidden  = new float[SimpleNNApplet.INPUT][SimpleNNApplet.HIDDEN];\r
+    private double[][]          weightInHidden  = new double[SimpleNNApplet.INPUT][SimpleNNApplet.HIDDEN];\r
 \r
     /**\r
      * <p>\r
      * 隠れ層の閾値。\r
      * </p>\r
      */\r
-    private float[]            thresholdHidden = new float[SimpleNNApplet.HIDDEN];\r
+    private double[]            thresholdHidden = new double[SimpleNNApplet.HIDDEN];\r
 \r
     /**\r
      * <p>\r
      * 隠れ層の出力。\r
      * </p>\r
      */\r
-    private float[]            hiddenOut       = new float[SimpleNNApplet.HIDDEN];\r
+    private double[]            hiddenOut       = new double[SimpleNNApplet.HIDDEN];\r
 \r
     /**\r
      * <p>\r
      * 隠れ層と出力層の間の重み係数。\r
      * </p>\r
      */\r
-    private float[][]          weightHiddenOut = new float[SimpleNNApplet.HIDDEN][SimpleNNApplet.OUTPUT];\r
+    private double[][]          weightHiddenOut = new double[SimpleNNApplet.HIDDEN][SimpleNNApplet.OUTPUT];\r
 \r
     /**\r
      * <p>\r
      * 出力層の閾値。\r
      * </p>\r
      */\r
-    private float[]            thresholdOut    = new float[SimpleNNApplet.OUTPUT];\r
+    private double[]            thresholdOut    = new double[SimpleNNApplet.OUTPUT];\r
 \r
     /**\r
      * <p>\r
      * 認識出力(出力層の出力)。\r
      * </p>\r
      */\r
-    private float[]            recognizeOut    = new float[SimpleNNApplet.OUTPUT];\r
+    private double[]            recognizeOut    = new double[SimpleNNApplet.OUTPUT];\r
 \r
     /**\r
      * <p>\r
      * 教師信号。\r
      * </p>\r
      */\r
-    private int[]              teach           = new int[SimpleNNApplet.PATTERN];\r
+    private int[]               teach           = new int[SimpleNNApplet.PATTERN];\r
 \r
     /**\r
      * <p>\r
      * 「学習モード」フラグ。\r
      * </p>\r
      */\r
-    private boolean            learningFlag;\r
+    private boolean             learningFlag;\r
 \r
     /**\r
      * <p>\r
      * 学習用入力データの基となるパターン。\r
      * </p>\r
      */\r
-    private int[][]            sampleArray;\r
+    private int[][]             sampleArray;\r
 \r
     /**\r
      * <p>\r
      * パターンと出力すべき教師信号の比較表。\r
      * </p>\r
      */\r
-    private int[][]            teachArray      = new int[SimpleNNApplet.PATTERN][SimpleNNApplet.OUTPUT];\r
+    private int[][]             teachArray      = new int[SimpleNNApplet.PATTERN][SimpleNNApplet.OUTPUT];\r
 \r
     /**\r
      * <p>\r
      * 手書き文字入力用座標。\r
      * </p>\r
      */\r
-    private int                xNew;\r
+    private int                 xNew;\r
 \r
     /**\r
      * <p>\r
      * 手書き文字入力用座標。\r
      * </p>\r
      */\r
-    private int                yNew;\r
+    private int                 yNew;\r
 \r
     /**\r
      * <p>\r
      * 手書き文字入力用座標。\r
      * </p>\r
      */\r
-    private int                xOld;\r
+    private int                 xOld;\r
 \r
     /**\r
      * <p>\r
      * 手書き文字入力用座標。\r
      * </p>\r
      */\r
-    private int                yOld;\r
+    private int                 yOld;\r
 \r
     /**\r
      * <p>\r
@@ -598,11 +598,11 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
         String string;\r
 \r
         // 外部サイクルエラー累計\r
-        float outerError;\r
+        double outerError;\r
         // 内部サイクルエラー累計\r
-        float innerError;\r
+        double innerError;\r
         // 隠れ層の誤差の累計\r
-        // TODO float tempError;\r
+        // TODO double tempError;\r
 \r
         if (this.learningFlag) {\r
             // 学習モードの背景\r
@@ -643,15 +643,15 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
                 BufferedReader reader = new BufferedReader(new InputStreamReader(this.getClass().getClassLoader().getResourceAsStream("random.txt")));\r
                 try {\r
                     for (j = 0; j < SimpleNNApplet.HIDDEN; j++) {\r
-                        this.thresholdHidden[j] = Float.parseFloat(reader.readLine()) - 0.5f;\r
+                        this.thresholdHidden[j] = Double.parseDouble(reader.readLine()) - 0.5;\r
                         for (i = 0; i < SimpleNNApplet.INPUT; i++) {\r
-                            this.weightInHidden[i][j] = (float) Float.parseFloat(reader.readLine()) - 0.5f;\r
+                            this.weightInHidden[i][j] = Double.parseDouble(reader.readLine()) - 0.5;\r
                         }\r
                     }\r
                     for (k = 0; k < SimpleNNApplet.OUTPUT; k++) {\r
-                        this.thresholdOut[k] = (float) Float.parseFloat(reader.readLine()) - 0.5f;\r
+                        this.thresholdOut[k] = Double.parseDouble(reader.readLine()) - 0.5;\r
                         for (j = 0; j < SimpleNNApplet.HIDDEN; j++) {\r
-                            this.weightHiddenOut[j][k] = (float) Float.parseFloat(reader.readLine()) - 0.5f;\r
+                            this.weightHiddenOut[j][k] = Double.parseDouble(reader.readLine()) - 0.5;\r
                         }\r
                     }\r
                 } finally {\r
@@ -666,7 +666,7 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
                 // 外部サイクル\r
 \r
                 // 外部二乗誤差のクリヤー\r
-                outerError = 0.0f;\r
+                outerError = 0;\r
 \r
                 for (q = 0; q < SimpleNNApplet.PATTERN; q++) {\r
                     // パターンの切り替え\r
@@ -688,7 +688,7 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
                     // 内部二乗誤差の計算\r
 \r
                     // 内部二乗誤差のクリヤー\r
-                    innerError = 0.0f;\r
+                    innerError = 0;\r
 \r
                     for (k = 0; k < SimpleNNApplet.OUTPUT; k++) {\r
                         innerError += (this.teach[k] - this.recognizeOut[k]) * (this.teach[k] - this.recognizeOut[k]);\r
@@ -778,9 +778,9 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
      * @param output\r
      *            演算結果の出力データ。\r
      */\r
-    public void forwardNeuralNet(int[] input, float[] output) {\r
-        float[] out = new float[SimpleNNApplet.OUTPUT];\r
-        float[] hidden = new float[SimpleNNApplet.HIDDEN];\r
+    public void forwardNeuralNet(int[] input, double[] output) {\r
+        double[] out = new double[SimpleNNApplet.OUTPUT];\r
+        double[] hidden = new double[SimpleNNApplet.HIDDEN];\r
 \r
         // 隠れ層出力の計算\r
         for (int j = 0; j < SimpleNNApplet.HIDDEN; j++) {\r
@@ -812,23 +812,23 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
         int k;\r
 \r
         // 出力層の誤差\r
-        float[] outputError = new float[SimpleNNApplet.OUTPUT];\r
+        double[] outputError = new double[SimpleNNApplet.OUTPUT];\r
         // 隠れ層の誤差\r
-        float[] hiddenError = new float[SimpleNNApplet.HIDDEN];\r
-        float tempError;\r
+        double[] hiddenError = new double[SimpleNNApplet.HIDDEN];\r
+        double tempError;\r
 \r
         // 出力層の誤差の計算\r
         for (k = 0; k < SimpleNNApplet.OUTPUT; k++) {\r
-            outputError[k] = (this.teach[k] - this.recognizeOut[k]) * this.recognizeOut[k] * (1.0f - this.recognizeOut[k]);\r
+            outputError[k] = (this.teach[k] - this.recognizeOut[k]) * this.recognizeOut[k] * (1.0 - this.recognizeOut[k]);\r
         }\r
 \r
         // 隠れ層の誤差の計算\r
         for (j = 0; j < SimpleNNApplet.HIDDEN; j++) {\r
-            tempError = 0.0f;\r
+            tempError = 0;\r
             for (k = 0; k < SimpleNNApplet.OUTPUT; k++) {\r
                 tempError += outputError[k] * this.weightHiddenOut[j][k];\r
             }\r
-            hiddenError[j] = this.hiddenOut[j] * (1.0f - this.hiddenOut[j]) * tempError;\r
+            hiddenError[j] = this.hiddenOut[j] * (1.0 - this.hiddenOut[j]) * tempError;\r
         }\r
 \r
         // 重みの補正\r
@@ -861,8 +861,8 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
      *            引数。\r
      * @return 計算結果。\r
      */\r
-    public float sigmoid(float x) {\r
-        return 1.0f / (1.0f + (float) Math.exp(-SimpleNNApplet.BETA * x));\r
+    public double sigmoid(double x) {\r
+        return 1.0 / (1.0 + Math.exp(-SimpleNNApplet.BETA * x));\r
     }\r
 \r
     /**\r
@@ -880,14 +880,14 @@ public final class SimpleNNApplet extends Applet implements MouseListener, Mouse
         for (int k = 0; k < SimpleNNApplet.OUTPUT; k++) {\r
             g.setColor(Color.black);\r
             g.drawString(String.valueOf(k) + "である", SimpleNNApplet.RX2, SimpleNNApplet.RY1 + 20 * k);\r
-            if (this.recognizeOut[k] > 0.8f) {\r
+            if (this.recognizeOut[k] > 0.8) {\r
                 g.setColor(Color.red);\r
             } else {\r
                 g.setColor(Color.black);\r
             }\r
 \r
             g.fillRect(SimpleNNApplet.RX3, SimpleNNApplet.RY1 - 10 + 20 * k, (int) (200 * this.recognizeOut[k]), 10);\r
-            g.drawString(String.valueOf((int) (100 * this.recognizeOut[k] + 0.5f)) + "%", SimpleNNApplet.RX3 + (int) (200 * this.recognizeOut[k]) + 10, SimpleNNApplet.RY1 + 20 * k);\r
+            g.drawString(String.valueOf((int) (100 * this.recognizeOut[k] + 0.5)) + "%", SimpleNNApplet.RX3 + (int) (200 * this.recognizeOut[k]) + 10, SimpleNNApplet.RY1 + 20 * k);\r
         }\r
     }\r
 \r
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