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Q3: If you have p = t = 1, P2 = t2 = -1,, find weight by using Widrow - Hoff learning. w(0) = [0.5 -0.5 - 0.5 0.5] with three iterations Q4 :: If p. t = -1, P2 = t2 = 1, then find the weight and bias by using Pseudoinverse rule. Q5 :For figure below. Find two iterations of backpropagation with a = 0.2. w'(0) = -1,b'(0) = -1, w (0) = 1,b (0) = -1. P = -1,t = 1 Inputs Tan-Sigmoid Layer Log-Sigmoid Layer

Q3: If you have p = t = 1, P2 = t2 = -1,, find weight by using Widrow - Hoff learning. w(0) = [0.5 -0.5 - 0.5 0.5] with three iterations Q4 :: If p. t = -1, P2 = t2 = 1, then find the weight and bias by using Pseudoinverse rule. Q5 :For figure below. Find two iterations of backpropagation with a = 0.2. w'(0) = -1,b'(0) = -1, w (0) = 1,b (0) = -1. P = -1,t = 1 Inputs Tan-Sigmoid Layer Log-Sigmoid Layer

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1 Q3: If you have pi = 1 ,t = 1, p2 = ,tz = -1,, find weight by using Widrow - Hoff learning. w(0) = [0.5 -0.5 - 0.5 0.5] with three iterations Q4 :: If pi = 1 , t, = -1, P2 = EI, tz = 1, then find the weight and bias by using 1 Pseudoinverse rule. Q5 :For figure below. Find two iterations of backpropagation with a = 0.2. w'(0) = -1,b'(0) = -1, w?(0) = 1, b2(0) = -1. P = -1,t 1 Inpute Tan Sigmoid Layer Log Sigmoid Layer al al= logsig (wlp-bi) al= ransig(wial+b) Good luck
Transcribed Image Text:1 Q3: If you have pi = 1 ,t = 1, p2 = ,tz = -1,, find weight by using Widrow - Hoff learning. w(0) = [0.5 -0.5 - 0.5 0.5] with three iterations Q4 :: If pi = 1 , t, = -1, P2 = EI, tz = 1, then find the weight and bias by using 1 Pseudoinverse rule. Q5 :For figure below. Find two iterations of backpropagation with a = 0.2. w'(0) = -1,b'(0) = -1, w?(0) = 1, b2(0) = -1. P = -1,t 1 Inpute Tan Sigmoid Layer Log Sigmoid Layer al al= logsig (wlp-bi) al= ransig(wial+b) Good luck
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