Pattern recognition : from classical to modern approaches /
edited by Sankar K. Pal and Amita Pal
- New Jersey World Scientific 2020
- 611 p.
This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-settheoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, pattern recognition: from classical to modern approaches is a very useful resource.