A THEORETICAL INVESTIGATION ON TRAINING OF PIPE-LIKE NEURAL NETWORK BENCHMARK ARCHITECTURES AND PERFORMANCE COMPARISONS OF POPULAR TRAINING ALGORITHMS.

Autor:	SIMSEK, Ozlem Imik, ALAGOZ, Baris Baykant
Předmět:	ALGORITHMS METAHEURISTIC algorithms SEARCH algorithms
Zdroj:	SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi; Dec2022, Vol. 10 Issue 4, p1251-1271, 21p
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu