[Retracted] Intelligent CO₂ Monitoring for Diagnosis of Sleep Apnea Using Neural Cryptography Techniques

Algorithm 3

Adsorption of carbon GEP-KNN (proposed).

Step 1. For each instance value in the training data set is the training data set.

Step 2. Encode component (chromosome) of biomass wastage in .

Step 3. For each instance value in

Step 4. Read and into GEP

Step 5. Consider as and as .

Step 6. Initiate the basic component functions of GEP: function set, link function, mutation selection, crossover, and fitness using Equation (3).

Step 7. For each generation, GEP implement Algorithm 1 (Step 3 to Step 5)

Step 8. Until termination condition or fitness criteria satisfied.

Step 9. Output of GEP represents

Step 10. Initialize KNN(GEP)// using Algorithm 2

Step 11. Consider as threshold value

Step 10. For each in training data set do

Step 11. Evaluate

Step 12. If

Step 13. (2)

Step 14. Else

Step 15. End if

Step 16. End for

Step 17. End for

Step 18. evaluate the prediction list

Step 19. End