22: How does a neural network learn ? Can you describe the perceptron training r

Question

22: How does a neural network learn? Can you describe the perceptron training rule? What is the purpose of a training set?

23: Perceptron networks often have units attached to their inputs called assosciation units or

A-units. What is the purpose of these units?

24: A Hopfield network is sometimes referred to as a recurrent network. Why is is called ? How would you describe a Hopfile network? With a Hopfield network what is the difference between asynchronous firing and synchronous firing?

25: The neural network that Teuvo Kohonen devised is often referred to as a Self-Organizing

Map or SOM, and it uses the idea of competive learning. Why is it called competive

learning?

26: What are some of the applications that a SOM is quite good at?

Explanation / Answer

22.

Note: Each pass through all of the training examples is called one epoch

where

xi is the input associated with the ith input unit. alpha is a constant between 0 and 1 called the learning rate.

Notes about this update formula:

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