Skip to Content
Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
Probabilistic
Neural Networks
207
There are some general guidelines that should be followed if we
expect to find values of σ that result in good performance. First, it
almost goes without saying that the individual components of a
multivariate sample vector should be comparably scaled
to
some "unit"
variation. This equalizes the contributions of each variable. It also
eliminates interaction between choice of
σ
and scaling due to measure-
ment, which has no effect on classification ability, but can help the
experimental design by keeping σ in reasonable ranges. For example,
if the measured variables are the height and weight of persons, it
woul ...
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

Data Clustering in C++

Data Clustering in C++

Guojun Gan
Wireless Network Simulation: A Guide using Ad Hoc Networks and the ns-3 Simulator

Wireless Network Simulation: A Guide using Ad Hoc Networks and the ns-3 Simulator

Henry Zárate Ceballos, Jorge Ernesto Parra Amaris, Hernan Jiménez Jiménez, Diego Alexis Romero Rincón, Oscar Agudelo Rojas, Jorge Eduardo Ortiz Triviño

Publisher Resources

ISBN: 9780080514338