Tekijä: C Carilaudy Enriquez González; Lucia del Carmen Alba Pérez; Maribel Iraida Noda Valledor Kustantaja: Our Knowledge Publishing (2021) Saatavuus: Noin 10-13 arkipäivää
Tekijä: C Carilaudy Enriquez González; Lucia del Carmen Alba Pérez; Maribel Iraida Noda Valledor Kustantaja: Editions Notre Savoir (2021) Saatavuus: Noin 10-13 arkipäivää
Tekijä: C Carilaudy Enriquez González; Lucia del Carmen Alba Pérez; Maribel Iraida Noda Valledor Kustantaja: Edizioni Sapienza (2021) Saatavuus: Noin 10-13 arkipäivää
Tekijä: Enrique Alba; Gabriel Luque; Francisco Chicano; Carlos Cotta; David Camacho; Manuel Ojeda-Aciego; Susana Montes; Troncoso Kustantaja: Springer Nature Switzerland AG (2021) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Enrique Alba; Christian Blum; Pedro Asasi; Coromoto Leon; Juan Antonio Gomez Kustantaja: John Wiley & Sons Inc (2009) Saatavuus: Noin 16-19 arkipäivää
Springer Sivumäärä: 252 sivua Asu: Kovakantinen kirja Painos: 2006 Julkaisuvuosi: 2006, 17.05.2006 (lisätietoa) Kieli: Englanti
Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Apart from Chapter 1, which reviews classical training methods, the chapters are divided into three main categories. The first one is devoted to local search based methods, including Simulated Annealing, Tabu Search, and Variable Neighborhood Search. The second part of the book presents population based methods, such as Estimation Distribution algorithms, Scatter Search, and Genetic Algorithms. The third part covers other advanced techniques, such as Ant Colony Optimization, Co-evolutionary methods, GRASP, and Memetic algorithms. Overall, the book's objective is engineered to provide a broad coverage of the concepts, methods, and tools of this important area of ANNs within the realm of continuous optimization.