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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H4.
INTRODUCTION TO FUZZY/NEURAL SYSTEM
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