/**
* 将对象转换为XML报文字符串
*
* <p>
* <li>通过java反射对象，将对象的每一个成员变量都转换成xml的标签
* <li>然后将获取每个变量的值，放入标签之间
*
* @param obj 待转换对象
* @return xml字符串
*/
public static String obj2Xml(Object obj) {
StringBuffer sb = new StringBuffer();
try {
Class clz = obj.getClass();
Field[] fields = clz.getDeclaredFields();
for (Field field : fields) {
String fieldName = field.getName();
sb.append("<" + fieldName + ">");
String methodName = "get" + DataTools.stringUpdateFirst(field.getName());
// 反射得到方法
Method m = clz.getDeclaredMethod(methodName);
// 通过反射调用set方法
sb.append(m.invoke(obj));
sb.append("</" + fieldName + ">");
}
} catch (SecurityException e) {
e.printStackTrace();
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (NoSuchMethodException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
} catch (InvocationTargetException e) {
e.printStackTrace();
}
return sb.toString();
}
/** Returns true if the given filename is a gzip file. */
public static boolean isGZipFile(String file) throws IOException {
if (!file.toLowerCase().endsWith(".gz")) return false;
FileInputStream s = new FileInputStream(file);
byte[] b = new byte[2];
s.read(b);
s.close();
return DataTools.bytesToInt(b, true) == GZIPInputStream.GZIP_MAGIC;
}
/**
* <br>
* Created on: Dec 1, 2012 2:46:13 PM
*
* @param fileName
* @return
*/
public static String replaceProHome(String fileName) {
String basedir = System.getProperty("basedir");
if (DataTools.isEmpty(basedir)) {
String proHome = "\\$PRO_HOME/";
return fileName.replaceAll(proHome, "");
}
if (Env.getPlatform() == Env.getOsWindows()) basedir = replaceWinSepaToUnix(basedir);
return fileName.replaceAll("\\$PRO_HOME", basedir);
}
/**
* <br>
* Created on: 2013-8-20 下午09:09:33
*
* @param filePath
* @return
*/
public static File getFilePath(String filePath) {
File path = new File(filePath);
if (!DataTools.isEmpty(path)) {
if (!path.exists())
if (!path.mkdirs()) {
return null;
}
} else {
if (!path.mkdirs()) {
return null;
}
}
return path;
}
/**
* 将XML格式报文转换成对象
*
* <p>
* <li>通过java反射对象，根据对象中的每个成员变量，获取对应报文的值
* <li>然后调用set方法，放入对象
* <li>如果里面有LIST，则获取LIST其中的内容，递归调用本方法获取对象
*
* @param dgXml 待转换xml
* @param clz 对象Class
* @return obj对象
*/
public static Object xml2Obj(String dgXml, Class clz) {
Object obj = null;
try {
// 创建传出的对象
obj = clz.newInstance();
// 获取对象的成员变量
Field[] fields = clz.getDeclaredFields();
for (Field field : fields) {
String fieldName = field.getName();
if (dgXml.indexOf("</" + fieldName + ">") != -1) {
String value = getDatagramXmlValue(dgXml, fieldName);
if (CommonValidate.equals(fieldName, "ROWS")) {
List<Object> list = new ArrayList<Object>();
if (!CommonValidate.isEmpty(value)) {
String className = clz.getName();
className = className + "ROWS";
do {
Object valueObj =
xml2Obj(
value.substring(
value.indexOf("<LIST>") + ("<LIST>").length(),
value.indexOf("</LIST>")),
Class.forName(className));
list.add(valueObj);
value = value.substring(value.indexOf("</LIST>") + ("</LIST>").length());
} while (!CommonValidate.isEmpty(value));
}
String methodName = "setROWS";
// 反射得到方法
Method m = clz.getDeclaredMethod(methodName, List.class);
// 通过反射调用set方法
m.invoke(obj, list);
} else {
String methodName = "set" + DataTools.stringUpdateFirst(field.getName());
// 反射得到方法
Method m = clz.getDeclaredMethod(methodName, String.class);
// 通过反射调用set方法
m.invoke(obj, value);
}
}
}
} catch (SecurityException e) {
e.printStackTrace();
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (InstantiationException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
} catch (NoSuchMethodException e) {
e.printStackTrace();
} catch (InvocationTargetException e) {
e.printStackTrace();
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
return obj;
}
/**
* Run an experiment, iterating through all possible combinations of parameters.
*
* @param sizes
* @param dimensions
* @param repeats
* @param rbfBasisFunction
* @param activationFunction
* @param learningRate
* @param clusters {number of hidden nodes in each layer, number of clusters}
* @param momentum
* @param hiddenNum number of hidden layers
*/
public static void runExperiment(
int[] sizes,
int[] dimensions,
int[][] repeats,
int[] rbfBasisFunction,
ActivationFunction[] activationFunction,
double[] learningRate,
int[][] clusters,
double[] momentum,
int[] hiddenNum) {
// Check for empty and null-valued arguments and initialize to default values.
if (sizes == null || sizes.length == 0) {
sizes = new int[] {100000};
}
if (dimensions == null || dimensions.length == 0) {
dimensions = new int[] {4};
}
if (repeats == null || repeats.length == 0) {
repeats = new int[][] {{1, 1}};
}
if (rbfBasisFunction == null || rbfBasisFunction.length == 0) {
rbfBasisFunction = new int[] {0};
}
if (activationFunction == null || activationFunction.length == 0) {
activationFunction = new ActivationFunction[] {ActivationFunction.LOGISTIC};
}
if (learningRate == null || learningRate.length == 0) {
learningRate = new double[] {0.01};
}
if (clusters == null || clusters.length == 0) {
clusters = new int[][] {{100, 10000}};
}
if (momentum == null || momentum.length == 0) {
momentum = new double[] {0.01};
}
if (hiddenNum == null || hiddenNum.length == 0) {
hiddenNum = new int[] {1};
}
// calculate the number of experiments
int experimentCount =
sizes.length
* repeats.length
* dimensions.length
* rbfBasisFunction.length
* activationFunction.length
* learningRate.length
* clusters.length
* momentum.length
* hiddenNum.length;
double[][][][] results = new double[2][experimentCount][][];
int experimentIndex = 0;
// Loop through all possible combinations of variables (most arrays should be of size 1)
for (int a = 0; a < sizes.length; a++) {
for (int b = 0; b < dimensions.length; b++) {
// Retrieve a dataset of size a with b inputs, or generate one if it does not exist
double[][] datasets = DataTools.getDataFromFile(dimensions[b], sizes[a]);
for (int c = 0; c < repeats.length; c++) {
for (int d = 0; d < rbfBasisFunction.length; d++) {
for (int e = 0; e < activationFunction.length; e++) {
for (int f = 0; f < learningRate.length; f++) {
for (int g = 0; g < clusters.length; g++) {
for (int h = 0; h < momentum.length; h++) {
for (int i = 0; i < hiddenNum.length; i++) {
// Print information about the next experiment
System.out.println("Experiment " + experimentIndex);
System.out.println("Number of training examples: " + sizes[a]);
System.out.println("Number of inputs: " + dimensions[b]);
System.out.println("Repeats: {" + repeats[c][0] + "," + repeats[c][1] + "}");
System.out.println("RBF basis function: " + rbfBasisFunction[d]);
System.out.println("FF activation function: " + activationFunction[e]);
System.out.println("Learning rate: " + learningRate[f]);
System.out.println("Clusters: " + clusters[g][1]);
System.out.println("Momentum: " + momentum[h]);
System.out.println("Hidden layers: " + hiddenNum[i]);
System.out.println();
// Train and test an RBF neural net
results[0][experimentIndex] =
trainRBF(
sizes[a],
dimensions[b],
repeats[c],
rbfBasisFunction[d],
activationFunction[e],
learningRate[f],
clusters[g],
momentum[h],
hiddenNum[i],
datasets);
double aboveRight = results[0][experimentIndex][0][0];
double aboveWrong = results[0][experimentIndex][0][1];
double belowRight = results[0][experimentIndex][0][2];
double belowWrong = results[0][experimentIndex][0][3];
double varianceSum = results[0][experimentIndex][0][4];
double realSum = results[0][experimentIndex][0][5];
double predictionSum = results[0][experimentIndex][0][6];
double minError = results[0][experimentIndex][0][7];
double maxError = results[0][experimentIndex][0][8];
double percentError = results[0][experimentIndex][0][9] / (sizes[a] * 10);
double averageError = varianceSum / (sizes[a] * 10);
double standardDeviation = 0.0;
double averageReal = realSum / (sizes[a] * 10);
double averagePrediction = predictionSum / (sizes[a] * 10);
double[] errors = results[0][experimentIndex][1];
for (int j = 0; j < errors.length; j++) {
double error = results[0][experimentIndex][1][j];
standardDeviation += Math.pow(error - averageError, 2.0);
}
standardDeviation /= 10 * sizes[a] - 1;
standardDeviation = Math.sqrt(standardDeviation);
System.out.println("------------RBF Neural Network------------");
System.out.println(" Correct above guesses: " + aboveRight);
System.out.println(" Incorrect above guesses: " + aboveWrong);
System.out.println(" Correct below guesses: " + belowRight);
System.out.println(" Incorrect below guesses: " + belowWrong);
System.out.println(" Average real value: " + averageReal);
System.out.println(" Average predicted value: " + averagePrediction);
System.out.println(" Average error: " + averageError);
System.out.println(" Average percent error: " + percentError);
System.out.println(" Standard dev. of errors: " + standardDeviation);
System.out.println(" Minimum error: " + minError);
System.out.println(" Maximum error: " + maxError);
System.out.println(
"Percent correctly guessed: "
+ ((aboveRight + belowRight)
/ (aboveRight + belowRight + aboveWrong + belowWrong)
* 100));
System.out.println();
// Train and test a Feedforward neural net
results[1][experimentIndex] =
trainFF(
sizes[a],
dimensions[b],
repeats[c],
rbfBasisFunction[d],
activationFunction[e],
learningRate[f],
clusters[g],
momentum[h],
hiddenNum[i],
datasets);
double[] statistics = new double[5];
for (int j = 0; j < 5; j++) {
for (int k = 0; k < 10; k++) {
statistics[k % 5] += results[1][experimentIndex][j][k];
}
}
statistics[4] /= 10;
double[] confidences = results[1][experimentIndex][6];
confidences[0] /= statistics[0];
confidences[1] /= statistics[1];
confidences[2] /= statistics[2];
confidences[3] /= statistics[3];
System.out.println("--------Feed Forward Neural Network--------");
System.out.println(" Correct above guesses: " + statistics[0]);
System.out.println("Incorrect above guesses: " + statistics[1]);
System.out.println(" Correct below guesses: " + statistics[2]);
System.out.println("Incorrect below guesses: " + statistics[3]);
System.out.println(" Average confidence: " + statistics[4]);
System.out.println("Average confidence when...");
System.out.println(" Correct and above: " + confidences[0]);
System.out.println(" Incorrect and above: " + confidences[1]);
System.out.println(" Correct and below: " + confidences[2]);
System.out.println(" Incorrect and below: " + confidences[3]);
System.out.println();
experimentIndex++;
}
}
}
}
}
}
}
}
}
}
/** @see HttpServlet#doPost(HttpServletRequest request, HttpServletResponse response) */
protected void addObject(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
Connection c;
PreparedStatement st;
ResultSet set;
String objName;
int objTileSrc;
int objXOff;
int objYOff;
int objWidth;
int objHeight;
String objDesc;
int objId;
int objAuth;
Gson Gson;
FormResponse resp;
resp = null;
c = null;
st = null;
set = null;
Gson = new Gson();
try {
// Verify we have authorization to do this! TODO: Set a special response code on authorization
// failure.
// Perform a quick, cursory validation
resp = validateAddForm(request);
if (!resp.isAccepted()) {
resp.setResult("FAIL");
} else {
// Apply parameters
objName = request.getParameter("title");
objDesc = request.getParameter("desc");
objTileSrc = Integer.parseInt(request.getParameter("tileset"));
objXOff = Integer.parseInt(request.getParameter("objXOff"));
objYOff = Integer.parseInt(request.getParameter("objYOff"));
objWidth = Integer.parseInt(request.getParameter("objWidth"));
objHeight = Integer.parseInt(request.getParameter("objHeight"));
// objAuth = (Integer) request.getSession().getAttribute("userid");
// TODO: Get the public flag
System.out.println("Object name: '" + objName + "'");
// Generate the query
c = DBResourceManager.getConnection();
st = c.prepareStatement(OBJTYPE_INSERT, PreparedStatement.RETURN_GENERATED_KEYS);
st.setString(1, objName);
st.setInt(2, objTileSrc);
st.setInt(3, objXOff);
st.setInt(4, objYOff);
st.setInt(5, objWidth);
st.setInt(6, objHeight);
st.setString(7, objDesc);
st.execute();
set = st.getGeneratedKeys();
// Grab the generated key
if (set.next()) {
objId = set.getInt(1);
resp.setResult("OK");
resp.addParamResult("objId", "VALUEUP:" + objId);
// Send the OK. Note that Dojo requires us to wrap the response
// in an html doc's text area for max. compatibility.
} else {
System.out.println("Failure to create object.");
resp.setResult("FAIL");
}
}
// Send the resposne object no matter what
response
.getWriter()
.println("<html><body><textarea>" + Gson.toJson(resp) + "</textarea></html></body>");
} catch (Exception ex) {
ex.printStackTrace();
if (resp == null) {
resp = new FormResponse();
resp.setAcceptance(false);
}
resp.setResult("FAIL");
resp.addMessage(ex.toString());
response
.getWriter()
.println("<html><body><textarea>" + ex.toString() + "</textarea></html></body>");
} finally {
DataTools.safeCleanUp(c, st, set);
}
}
/**
* When browsing objects, we'd like to make it possible to interface the object type list with a
* Dojo Data Source. To do so, we stream the objects out as a JSON object.
*
* @param request
* @param response
* @throws ServletException
* @throws IOException
*/
private void doObjTypeRequestJSON(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
int fromIndex, maxResult;
Connection c;
PreparedStatement st;
ResultSet set;
JsonWriter jOut;
int recCount;
// Set the content up
response.setContentType("application/json");
// Setup our database information
c = null;
st = null;
set = null;
// Setup the rest of our environment
recCount = 0;
jOut = new JsonWriter(response.getWriter());
try {
// Parse request parameters
fromIndex = Integer.parseInt(request.getParameter("start"));
maxResult = Integer.parseInt(request.getParameter("count"));
// Create connection to the database and prep the query
c = DBResourceManager.getConnection();
st = c.prepareStatement(OBJTYPE_LIST_JSON);
st.setInt(1, fromIndex);
st.setInt(2, maxResult);
// Execute the query
set = st.executeQuery();
// Now, stream the results out as if they were an object
jOut.beginObject();
jOut.name("items").beginArray();
while (set.next()) {
// Write each element out as an object
jOut.beginObject();
jOut.name("objid").value(set.getInt("id"));
jOut.name("objname").value(set.getString("name"));
jOut.name("objtilesrc").value(set.getString("tilesrc"));
jOut.name("description").value(set.getString("description"));
jOut.endObject();
// Increment the record count
recCount++;
}
// Terminate the array
jOut.endArray();
// Note the number of rows
jOut.name("numRows").value(recCount);
// End the overall object
jOut.endObject();
// Flush the output
jOut.flush();
} catch (Exception ex) {
ex.printStackTrace();
} finally {
DataTools.safeCleanUp(c, st, set);
}
}