000			01160nam a2200157 4500
020			_a9780000988966
082			_a006.4 _bPAT
245			_aPattern recognition : from classical to modern approaches
260			_aLondon _bWorld scientific _c2020
300			_a612 p.
520			_aThis 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-set-theoretic, 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.
650			_aPattern recognition systems
700			_aSankar K Pal, Ed.
856			_uAmita Pal, Ed.
942			_cBK
999			_c66215 _d66215