Implement the perceptron rule for the set of input training vectors X1= X2= 0 -1.5 0.5 1 Initial weight W is assumed to be W1= -1 +1 0 0.5 Constant C=0.5, the teacher's desired response for X1 and X2 are d1=1,d2=1 respectively. 0 -2 0 1

Implement the perceptron rule for the set of input training vectors X1= X2= 0 -1.5 0.5 1 Initial weight W is assumed to be W1= -1 +1 0 0.5 Constant C=0.5, the teacher's desired response for X1 and X2 are d1=1,d2=1 respectively. 0 -2 0 1

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

H4. INTRODUCTION TO FUZZY/NEURAL SYSTEM

Implement the perceptron rule for the set of input training
vectors
X1=
X2=
0
-1.5
0.5
1
Initial weight W is assumed to be W1= -1
+1
0
0.5
Constant C=0.5, the teacher's desired response for X1 and
X2 are d1=1,d2=1 respectively.
0
-2
0
1

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