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: -1 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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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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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 =
1 (Banana)
P2
-1 (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.
II
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 = 1 (Banana) P2 -1 (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. II
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