Neural Network Toolbox

Single ADALINE (newlin)

Consider a single ADALINE with two inputs. The diagram for this network is shown below.

The weight matrix W in this case has only one row. The network output is:

• or

Like the perceptron, the ADALINE has a decision boundary that is determined by the input vectors for which the net input n is zero. For the equation specifies such a decision boundary as shown below (adapted with thanks from [HDB96])

.

Input vectors in the upper right gray area lead to an output greater than 0. Input vectors in the lower left white area lead to an output less than 0. Thus, the ADALINE can be used to classify objects into two categories. Now you can find the network output with the function sim.

• a = sim(net,p)
  a =
      24
  

To summarize, you can create an ADALINE network with newlin, adjust its elements as you want and simulate it with sim. You can find more about newlin by typing help newlin.

Adaptive Linear Network Architecture

Mean Square Error

© 1994-2005 The MathWorks, Inc.