Kontakt
Kako nakupovati
Dostava
Svetovalec pri nakupu
Self-Organizing Maps for High Dimensional Feature Space Problems
Angleščina
146 b
Do 30 dni za vračilo
Morda bi vas zanimalo tudi
Self Organizing Map SOM is one of the wide spread neural network approaches which enable feature extraction, visualization in pattern recognition and data mining problems. However, two major problems have been observed when SOM is used in high dimensional feature space problems: the recognition rate is dropped when unseen data are used, and expensive computational cost when using large data sets. In this book, we develop new hierarchical search algorithm for SOM. Several experiments are conducted for some pattern recognition applications showed the superiority of the proposed SOM over traditional SOM and other related approaches.
O knjigi
Angleščina
Podarite to knjigo še danes
To je povsem preprosto
1 Dodajte knjigo v košarico in izberite dostavo kot darilo 2 V zameno vam bomo poslali kupon 3 Knjiga bo dostavljena na naslov obdarovancaPozdravljeni! Sem Libroamiko, vaš knjižni svetovalec.
Kako vam lahko pomagam?