8.1.5 Storage of Multiple Patterns in an Auto-associative Net
More than one patterns can be stored in an auto-associative neural net. e capacity of such a net is
de ned as the number of patterns that can be stored in it and be recalled by the net. If one tries to store
more patterns than its capacity, then the net tends to forget the stored patterns. e important points
regarding storage of several patterns in an auto-associative net are stated below.
e stored patterns must be mutually orthogonal. Two vectors 1. x = [x
1
, x
2
, …, x
n
] and y = [y
1
, y
2
,
…, y
n
] are said to be orthogonal if their inner ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.