SpringerBriefs in Applied Sciences and Technology

Sayed-Mouchaweh, Moamar

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.

Details

Published by: Springer

Publication Date: 2015-12-16

Format: Paperback

ISBN-13: 9783319256658

DOI: 10.1007/978-3-319-25667-2

Dimensions: 235cm x155cm

Pages: 75