In this chapter we have designed three different neural networks to distin$-$

guish between apples and oranges, based on three sensor measurements

$($shape$,$ texture and weight$).$ Suppose that we want to distinguish between

bananas and pineapples:

$($Banana$)$

$($Pineapple$)$

i$.$ Design a perceptron to recognize these patterns.

ii$.$ Design a Hamming network to recognize these patterns.

iii. Design a Hopfield network to recognize these patterns.

iv$.$ Test the operation of your networks by applying several different in$-$

put patterns. Discuss the advantages and disadvantages of each

network.