We have explained the structures and utilized programs to demonstrate how a neural network utilizes a teacher’s guidelines for pattern recognition and comparison to complete its tasks. This chapter will detail network learning without a teacher. We discussed self-learning networks briefly in Section 3.2 in Chapter 3. We will now discuss these networks in some depth.
We will not examine the common self-learning algorithms devised by Hebb, Oji, Kohonen, and others in great detail or discuss their mathematical bases. We will explain their operations and uses, and utilize examples to demonstrate their workings. We suggest you start by running the Example 10a program.
The program deals with ...