Algorithm 1. BP-ELMNN

Input: training data.

Output: predicted category.

Begin

Step 1: train the BPNN part on the training data using the Adam algorithm.

Step 2: randomly select the input weights and thresholds of the Dense 3 layer.

Step 3: calculate the input weight $\beta$ of the output layer using Equation (7).

Step 4: test the BP-ELMNN model on the test data.

Step 5: output the classification results.

End