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Neuronal : kunstmatig intelligentie

The ILB-25 chooses itself of its decisional area according to the length of the vectors (vector = signature of the controlled object)

Learning of the neuronal network

The neuronal system is based on expanding space, new vectors learning fine-tune the whole neuronal network. Complex limit cases can be learned to the system to improve its specificity and selectivity.

Use of a neuronal learning

When a new product vector is presented to neuronal network, 4 cases may be found:

  • product vector matches with fail region,
  • product vector matches with pass region,
  • product vector is in a region without learning, the result is in this case “unknown”,
  • product vector is in uncertain region, but analysis of environment help to find a solution.

 

Example of sorting on neuronal basis, sorting of pills :
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