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Hello, I have been using the NN library for opencv. I had generated the param xml file which consist the training and the test parameters. These parameters bolded and italic, I do not understand. Is there any information that I can look on?

<f_param1>5.9999999999999998e-001</f_param1> <f_param2>1.</f_param2> <min_val>-9.4999999999999996e-001</min_val> <max_val>9.499strong text9999999999996e-001</max_val> <min_val1>-9.7999999999999998e-001</min_val1> <max_val1>9.7999999999999998e-001</max_val1> <training_params> <train_method>BACKPROP</train_method> <dw_scale>1.0000000000000001e-001</dw_scale> <moment_scale>1.0000000000000001e-001</moment_scale> <term_criteria><epsilon>9.9999999747524271e-007</epsilon> <iterations>2000</iterations></term_criteria></training_params> <input_scale>

Hello, I have been using the NN library for opencv. I had generated the param xml file which consist the training and the test parameters. These parameters bolded and italic, I do not understand. Is there any information that I can look on?

<f_param1>5.9999999999999998e-001</f_param1> <f_param2>1.</f_param2> <min_val>-9.4999999999999996e-001</min_val> <max_val>9.499strong text9999999999996e-001</max_val> <min_val1>-9.7999999999999998e-001</min_val1> <max_val1>9.7999999999999998e-001</max_val1>

***<dw_scale>1.0000000000000001e-001</dw_scale>
<moment_scale>1.0000000000000001e-001</moment_scale>
 <term_criteria><epsilon>9.9999999747524271e-007</epsilon>
   <iterations>2000</iterations></term_criteria></training_params>
 

Hello, I have been using the NN library for opencv. I had generated the param xml file which consist the training and the test parameters. These parameters bolded and italic, I do not understand. Is there any information that I can look on?

<f_param1>5.9999999999999998e-001</f_param1> <f_param2>1.</f_param2> <min_val>-9.4999999999999996e-001</min_val> <max_val>9.499strong text9999999999996e-001</max_val> <min_val1>-9.7999999999999998e-001</min_val1> <max_val1>9.7999999999999998e-001</max_val1>

<training_params> <train_method>BACKPROP</train_method>

***<dw_scale>1.0000000000000001e-001</dw_scale>
<moment_scale>1.0000000000000001e-001</moment_scale>
<term_criteria><epsilon>9.9999999747524271e-007</epsilon>
  <iterations>2000</iterations></term_criteria></training_params>

<input_scale>*