David Scaradozzi (ed.); Lorenzo Guasti (ed.); Margherita Di Stasio (ed.); Beatrice Miotti (ed.); Andrea Monteriù (ed.); Bli Springer (2021) Saatavuus: Tilaustuote Kovakantinen kirja
David Scaradozzi (ed.); Lorenzo Guasti (ed.); Margherita Di Stasio (ed.); Beatrice Miotti (ed.); Andrea Monteriù (ed.); Bli Springer (2021) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Beatrice Dernbach (ed.); Manfred Rühl (ed.); Anna Maria Theis-Bergemair (ed.) VS Verlag für Sozialwissenschaften (1997) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Physica Sivumäärä: 258 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2010, 21.10.2010 (lisätietoa) Kieli: Englanti
In the last two decades the artificial neural networks have been refined and widely used by the researchers and application engineers. We have not witnessed such a large degree of evolution in any other artificial neural network as in the Adaptive Resonance Theory (ART) neural network. The ART network remains plastic, or adaptive, in response to significant events and yet remains stable in response to irrelevant events. This stability-plasticity property is a great step towards realizing intelligent machines capable of autonomous learning in real time environment. The main aim of this book is to report a very small sample of the research on the evolution of ART neural network and its applications. Interested readers may refer literature for many more innovations in ART such as Fuzzy ART, ART2, ART2-a, ARTMAP, ARTMAP-PI, ARTMAP-DS, Gaussian ARTMAP, EXACT ART, and ART-EMAP.
