[Retracted] Predicting the Growth of F. proliferatum and F. culmorum and the Growth of Mycotoxin Using Machine Learning Approach

Algorithm 1

Machine learning algorithm.

Step 1. Start the program.

Step 2. Choose the five input factors.

Step 3. Based on the batch investigation, the sample data is generated.

Step 4. Based on the input parameter, the ANN model is designed with 16 to 60 neurons.

Step 5. The test data is applied, and the factor performance is evaluated.

Step 6. MLR is designed.

Step 7. The training data for the coefficient is evaluated.

Step 8. If it is satisfied, repeat Step 5.

Step 9. The value of RMSE and is compared, and the ANN model and MLR model are implemented.

Step 10. Stop.