Over 10 Million Study Resources Now at Your Fingertips

Download as :
Rating : ⭐⭐⭐⭐⭐
Price : $10.99
Pages: 2

The backward selection method

Just deciding the number of hidden neuron layers is only a small part of the problem. You must also determine how many neurons will be in each of these hidden layers. This process is covered in the next section.

The Number of Neurons in the Hidden Layers


The number of hidden neurons should be in the range between the size of the input layer and the size of the output layer.

Figure 5.3: Selecting the number of hidden neurons with forward selection

The second method, the "backward selection method", begins by using a large number of hidden neurons. Then the neural network is trained and tested. This process continues until about the performance improvement of the neural network is no longer significant. To backward selection method is summarized in figure 5.4.

How It Works
Login account
Login Your Account
Add to cart
Add to Cart
Make payment
Document download
Download File
PageId: ELI28EC244
Uploaded by :
Page 1 Preview
the backward selection method
Sell Your Old Documents & Earn Wallet Balance