1. Section 11.5.4 used the linear associator algorithm to make two vector pair associations. Select.

1. Section 11.5.4 used the linear associator
algorithm to make two vector pair associations. Select three (new) vector pair
associations and solve the same task. Test whether your linear associator is
interpolative; that is, can it associate near misses of the exemplars? Make
your linear associator autoassociative.

2. Consider the bidirectional associative memory
(BAM) of Section 11.6.3. Change the association pairs given in our example and
create the weight matrix for the associations. Select new vectors and test your
BAM associator.

3. Describe the differences between the BAM memory

1. Section 11.5.4 used the linear associator
algorithm to make two vector pair associations. Select three (new) vector pair
associations and solve the same task. Test whether your linear associator is
interpolative; that is, can it associate near misses of the exemplars? Make
your linear associator autoassociative.

2. Consider the bidirectional associative memory
(BAM) of Section 11.6.3. Change the association pairs given in our example and
create the weight matrix for the associations. Select new vectors and test your
BAM associator.

3. Describe the differences between the BAM memory
and the linear associator. What is crosstalk and
how can it be prevented?

4. Write a Hopfield net to solve the
traveling salesperson problem for ten cities.

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