Question

Using the perceptron learning rule, find the weights required to perform the following classifications: Vectors (1,1,1,1) and (-1,1,-1,-1) are members of the class (and therefore have a target value of 1): vectors (1,1,1,-1) and (1,-1,-1,1) are not members of the class (and have a target value of -1). Use a learning rate of 1 and starting weights of 0. Using each of the training x vectors as input, test the response of the net.

Name: using the perceptron learning rule find the weights required to perform the following classifications vectors1111 and 11 1 1 are members of the class and therefore have target value 1 vector 75366
Uploaded: 2023-05-24T01:18:46-08:00
Duration: 2 min 3 s
Channel: Adi S
Description: using the perceptron learning rule find the weights required to perform the following classifications vectors1111 and 11 1 1 are members of the class and therefore have target value 1 vector 75366

          Using the perceptron learning rule, find the weights required to perform the following classifications: Vectors (1,1,1,1) and (-1,1,-1,-1) are members of the class (and therefore have a target value of 1): vectors (1,1,1,-1) and (1,-1,-1,1) are not members of the class (and have a target value of -1). Use a learning rate of 1 and starting weights of 0. Using each of the training x vectors as input, test the response of the net.

Added by Dan R.

University Physics with Modern Physics

Hugh D. Young 14th Edition

Instant Answer

Solved by Expert Adi S

05/24/2023

Step 1

Initialize the weights and learning rate: $w_1 = 0, w_2 = 0, w_3 = 0, w_4 = 0$, and $\alpha = 1$. Show more…

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Using the perceptron learning rule, find the weights required to perform the following classifications: Vectors (1,1,1,1) and (-1,1,-1,-1) are members of the class (and therefore have a target value of 1): vectors (1,1,1,-1) and (1,-1,-1,1) are not members of the class (and have a target value of -1). Use a learning rate of 1 and starting weights of 0. Using each of the training x vectors as input, test the response of the net.