Skip to Main Content
Building an Intelligent Web: Theory and Practice
book

Building an Intelligent Web: Theory and Practice

by Pawan Lingras, Rajendra Akerkar
March 2010
Intermediate to advanced content levelIntermediate to advanced
326 pages
12h 25m
English
Jones & Bartlett Learning
Content preview from Building an Intelligent Web: Theory and Practice
“4137X˙CH05˙Akerkar” 2007/9/8 11:01 page 191 #15
5.3 Neural-Network-Based Approaches 191
and apply the activation function to v. Thus, the computation of each input pattern will be
given as
P
1
: v =2× 1 4 × 0+1× 0=2,
2 > 0,y = ϕ(2) = 1.
P
2
: v =2× 0 4 × 1+1× 1=3,
3 < 0,y = ϕ(3) = 0.
P
3
: v =2× 1 4 × 0+1× 1=3,
3 > 0,y = ϕ(3) = 1.
P
4
: v =2× 1 4 × 1+1× 1=1,
1 < 0,y = ϕ(1) = 0.
Here, the training set is a set of pairs of input patterns with corresponding desired-output
patterns. Each pair represents how the network is supposed to respond to a particular input.
The network is trained to respond correctly to each input pattern from ...
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.
Start your free trial

You might also like

Reinventing the Organization for GenAI and LLMs

Reinventing the Organization for GenAI and LLMs

Ethan Mollick

Publisher Resources

ISBN: 9780763741372