Screen content for the neural network (MLP) algorithm

Descriptions of controls:

  • Name - name of the learned neural network
  • Choose search - search defined in OP5 Log Analytics, which is used to select a set of data on which the rule of artificial intelligence will work
  • Below, on the left, a list of attributes and their weights based on teaching ANN will be defined during the teaching. The user for each attribute will be able to indicate the field from the above mentioned search, which contain the values of the attribute and which will be analyzed in the algorithm. The presented list (for input and output attributes) will have a static and dynamic part. Static creation by presenting key with the highest weights. The key will be presented in the original form, i.e. perf_data./ The second part is a DropDown type list that will serve as a key update according to the user’s naming. On the right side, the attribute will be examined in a given rule / pattern. Here also the user must indicate a specific field from the search. In both cases, the input and output are narrowed based on the search fields indicated in Choose search.
  • Data limit - limits the amount of data downloaded from the source. It speeds up the processing, but reduces its quality.
  • Scheduler - a tag if the rule should be run according to the plan or the scheduler. If selected, additional fields will appear:

  • Prediction cycle - plan definition for the scheduler, i.e. the cycle in which the prediction rule is run (e.g. once a day, every hour, once a week). In the field, enter the command that complies with the cron standard
  • Enable - whether to immediately launch the scheduler plan or save only the definition
  • Role - only users with the roles selected here and the administrator will be able to run the defined AI rules