Fog Big Data Analysis for IoT Sensor Application Using Fusion Deep Learning

Algorithm 1

Steps in the BP simulation program.

 Step 1: starting the network weights, learning rate, and threshold error. Make iterations 0.

 Step 2: open the image training set file.

 Step 3: total error = 0; iterations+1

 Step 4: input one vector from the file to the layer units.

 Step 5: initialize the vector’s goal output.

 Step 6: determine hidden layer unit outputs.

 Step 7: determine output layer units.

 Step 8: input = desired output–actual output

 Step 9: total error + error

 Step 10: measure the output layer’s delta sigma and then change the hidden layer’s weights.

 Step 11: tend to your hidden layer units’ delta sigma and alter the weights among them.

 Step 12: if the file has more vectors, move to step 4.

 Step 13: stop if threshold error > total error.