Validation process hangs up

Dear all,

I created a simple validation process which is intended to be run several times in order to examine the optimal number of training cycles. (--> run with 10 cycles, run with 20 cycles, run with 200 cycles and compare performances)

With 10 training cycles of the neural net this process works fine. But once set to 200 the process hangs up. It keeps running and running and running. Finally, the "send bug report" dialog appears.

To determine the rootcause I tried to modify several things:
- set training cycles to a lower number --> works at very small numbers of training cycles only
- additionally, I tried to reveal if this behaviour is related to a certain column or value. Therefore, I deleted some columns and ran the process (--> works). Then I took the former deleted columns only and ran the process (--> works). Same observation with selected rows. So obviously the error is not related to the data values itself. But when taking the original file it doesn't work. --> overall result: works sometimes
- take the generate data sample with the same number of rows and columns instead of my excel sheet --> works


To reproduce this error I uploaded my excel sample file here
http://datahost.bplaced.net/sample.xls


Any kind of help appreciated...  :-\


Regards
Sachs

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
    <process expanded="true" height="447" width="622">
      <operator activated="true" class="read_excel" compatibility="5.2.008" expanded="true" height="60" name="Read Excel" width="90" x="45" y="120">
        <parameter key="excel_file" value="C:\sample.xls"/>
        <parameter key="imported_cell_range" value="A1:AR74"/>
        <parameter key="first_row_as_names" value="false"/>
        <list key="annotations">
          <parameter key="0" value="Name"/>
        </list>
        <parameter key="date_format" value="dd.MM.yyyy"/>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="a.true.real.attribute"/>
          <parameter key="1" value="b.true.real.attribute"/>
          <parameter key="2" value="c.true.real.attribute"/>
          <parameter key="3" value="d.true.real.attribute"/>
          <parameter key="4" value="e.true.real.attribute"/>
          <parameter key="5" value="f.true.real.attribute"/>
          <parameter key="6" value="g.true.real.attribute"/>
          <parameter key="7" value="h.true.real.attribute"/>
          <parameter key="8" value="i.true.real.attribute"/>
          <parameter key="9" value="j.true.real.attribute"/>
          <parameter key="10" value="k.true.real.attribute"/>
          <parameter key="11" value="l.true.real.attribute"/>
          <parameter key="12" value="m.true.real.attribute"/>
          <parameter key="13" value="n.true.real.attribute"/>
          <parameter key="14" value="o.true.real.attribute"/>
          <parameter key="15" value="p.true.real.attribute"/>
          <parameter key="16" value="q.true.real.attribute"/>
          <parameter key="17" value="r.true.real.attribute"/>
          <parameter key="18" value="s.true.real.attribute"/>
          <parameter key="19" value="t.true.real.attribute"/>
          <parameter key="20" value="u.true.real.attribute"/>
          <parameter key="21" value="v.true.real.attribute"/>
          <parameter key="22" value="w.true.real.attribute"/>
          <parameter key="23" value="x.true.real.attribute"/>
          <parameter key="24" value="y.true.real.attribute"/>
          <parameter key="25" value="z.true.real.attribute"/>
          <parameter key="26" value="aa.true.real.attribute"/>
          <parameter key="27" value="bb.true.real.attribute"/>
          <parameter key="28" value="cc.true.real.attribute"/>
          <parameter key="29" value="dd.true.real.attribute"/>
          <parameter key="30" value="ee.true.real.attribute"/>
          <parameter key="31" value="ff.true.real.attribute"/>
          <parameter key="32" value="gg.true.real.attribute"/>
          <parameter key="33" value="hh.true.real.attribute"/>
          <parameter key="34" value="ii.true.real.attribute"/>
          <parameter key="35" value="jj.true.real.attribute"/>
          <parameter key="36" value="kk.true.real.attribute"/>
          <parameter key="37" value="ll.true.real.attribute"/>
          <parameter key="38" value="mm.true.real.attribute"/>
          <parameter key="39" value="nn.true.real.attribute"/>
          <parameter key="40" value="oo.true.real.attribute"/>
          <parameter key="41" value="pp.true.real.attribute"/>
          <parameter key="42" value="label.true.real.label"/>
          <parameter key="43" value="ID.true.real.id"/>
        </list>
      </operator>
      <operator activated="false" class="generate_data" compatibility="5.2.008" expanded="true" height="60" name="Generate Data" width="90" x="45" y="30">
        <parameter key="number_examples" value="74"/>
        <parameter key="number_of_attributes" value="44"/>
        <parameter key="attributes_lower_bound" value="0.0"/>
        <parameter key="attributes_upper_bound" value="150.0"/>
      </operator>
      <operator activated="true" class="series:sliding_window_validation" compatibility="5.2.000" expanded="true" height="112" name="Validation" width="90" x="246" y="30">
        <parameter key="training_window_width" value="20"/>
        <parameter key="training_window_step_size" value="10"/>
        <parameter key="test_window_width" value="20"/>
        <process expanded="true" height="465" width="295">
          <operator activated="true" class="neural_net" compatibility="5.2.008" expanded="true" height="76" name="Neural Net" width="90" x="102" y="30">
            <list key="hidden_layers"/>
            <parameter key="training_cycles" value="200"/>
          </operator>
          <connect from_port="training" to_op="Neural Net" to_port="training set"/>
          <connect from_op="Neural Net" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true" height="465" width="295">
          <operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="series:forecasting_performance" compatibility="5.2.000" expanded="true" height="76" name="Performance" width="90" x="170" y="30">
            <parameter key="horizon" value="1"/>
          </operator>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Read Excel" from_port="output" to_op="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="averagable 1" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>