Q4:- Perform three steps of the learning algorithm of the ART network for n=9 and m-3 assuming that the training vectors are: x1 = [1 0 0 0 1 0 0 0 1] x2 = [ 1 1 0 0 1 0 0 1 1] x3 = [ 1 0 1 0 1 0 10 1] Select an appropriate vigilance threshold p so that all three patterns are cluster separately when the sequence xl, x2, and x3 are presented .Compute the final weights of the trained network.

Q4:- Perform three steps of the learning algorithm of the ART network for n=9 and m-3 assuming that the training vectors are: x1 = [1 0 0 0 1 0 0 0 1] x2 = [ 1 1 0 0 1 0 0 1 1] x3 = [ 1 0 1 0 1 0 10 1] Select an appropriate vigilance threshold p so that all three patterns are cluster separately when the sequence xl, x2, and x3 are presented .Compute the final weights of the trained network.

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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