Use the Hebb rule to find the weight matrix to store th a. following (binary) input output pattern. r(1) = (1 0) r(2) = (0 1) X(1) = (101) X(2) = (01 0) %3D b. Using the binary step function (with threshold 0) as th activation function for both layers, test the response of you network in both directions of each binary training patter Initial activation of the other layers is set to zero.
Use the Hebb rule to find the weight matrix to store th a. following (binary) input output pattern. r(1) = (1 0) r(2) = (0 1) X(1) = (101) X(2) = (01 0) %3D b. Using the binary step function (with threshold 0) as th activation function for both layers, test the response of you network in both directions of each binary training patter Initial activation of the other layers is set to zero.
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
![Que 1.31.
Use the Hebb rule to find the weight matrix to store the
following (binary) input output pattern.
a.
X(1) = (101) r(1) = (1 0)
X(2) = (01 0) r(2) = (0 1)
%3D
b. Using the binary step function (with threshold 0) as the
activation function for both layers, test the response of your
network in both directions of each binary training pattern.
Initial activation of the other layers is set to zero.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7797ee64-e510-4559-a6ae-e75fbb572eab%2F2462088c-303b-4a41-9983-cebbe4962ba7%2Fvizn7y_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Que 1.31.
Use the Hebb rule to find the weight matrix to store the
following (binary) input output pattern.
a.
X(1) = (101) r(1) = (1 0)
X(2) = (01 0) r(2) = (0 1)
%3D
b. Using the binary step function (with threshold 0) as the
activation function for both layers, test the response of your
network in both directions of each binary training pattern.
Initial activation of the other layers is set to zero.
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