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Calculate the error using error correction learning rule where inputs are x1 = 0.6, x2 = 0.5, x3 = 0.35 and synaptic weights are w1 = -2, w2 = 1.3, w3 = 3, bias = -22 and desired output dk = 29.

Calculate the error using error correction learning rule where inputs are x1 = 0.6, x2 = 0.5, x3 = 0.35 and synaptic weights are w1 = -2, w2 = 1.3, w3 = 3, bias = -22 and desired output dk = 29.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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  1. Calculate the error using error correction learning rule where inputs are x1 = 0.6, x2 = 0.5, x3 = 0.35 and synaptic weights are w1 = -2, w2 = 1.3, w3 = 3, bias = -22 and desired output dk = 29.
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