Kontakt
Kako nakupovati
Dostava
Svetovalec pri nakupu
Angleščina
149 b
Do 30 dni za vračilo
Drugi so kupili tudi
/
Mehka
40.09
€
/
Mehka
40.90
€
/
Mehka
27.43
€
Artificial neural networks (ANN) are popular machine learning tools that are widely used to solve problems like function approximation, time series prediction, medical diagnosis, character recognition and several optimization problems in various domains of science and engineering. While training ANN, it is essential to have a better optimization method for faster convergence. Simultaneous Perturbation with Stochastic approximation (SPSA) is such a successful optimization method. SPSA provides its power and relative ease of use in difficult multivariate optimization problems and the underlying gradient approximation that requires only two objective function measurements per iteration regardless of the dimension of the optimization problem. This book discusses different neural network learning algorithms to solve classification and non-linear function approximation problems with the combination of simultaneous perturbation, dynamic tunneling techniques, modified back propagation, and neighborhood approach with adaptive learning parameters. Efficiency of these algorithms has been discussed with detailed simulation results for different problems.
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 obdarovancaMorda bi vas zanimalo tudi
/
Mehka
24.42
€
/
Mehka
29.14
€
/
Mehka
11.45
€
/
Mehka
25.42
€
/
Mehka
26.12
€
/
Mehka
20.60
€
Pozdravljeni! Sem Libroamiko, vaš knjižni svetovalec.
Kako vam lahko pomagam?