ADALINE is another algorithm (yes, remember we are talking about algorithms) used to train neural networks. ADALINE is in some ways more advanced than the perceptron because it adds a new training method: gradient descent, which should be known to you by now. Additionally, it changes the point at which the error is measured before the activation output is applied to the summation of the weights:
Adaline model (With additions from Perceptron highlighted)
So, this is the standard way of representing the ADALINE algorithm in a structural way. As an algorithm consists of a series of steps, let's ...
