E3.1 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: P₁ = (Banana) P₂ = (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.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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E3.1 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:
P₁
=
(Banana)
-0
A
P₂ =
(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.
Transcribed Image Text:E3.1 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: P₁ = (Banana) -0 A P₂ = (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.
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