✦ LIBER ✦

Simulated annealing and neural networks as alternative methods for nonlinear constrained optimization

✍ Scribed by P. Carlson; M. Danielsson; M. Dejardin; K. Jon-And; J. Sjölin

Publisher: Elsevier Science
Year: 1996
Tongue: English
Weight: 490 KB
Volume: 381
Category: Article
ISSN: 0168-9002
DOI: 10.1016/0168-9002(96)00737-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Evaluation of nonlinear optimization met

Evaluation of nonlinear optimization methods for the learning algorithm of artificial neural networks

✍ Hideyuki Takagi; Shigeo Sakaue; Hayato Togawa 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 980 KB

## Abstract This paper describes the implementation of nonlinear optimization methods into the learning of neural networks (NN) and the speed efficiency of four proposed improvements into the backpropagation algorithm. The problems of the backpropagation learning method are pointed out first, and t

Derivative and GA-based methods in metam

Derivative and GA-based methods in metamodeling of back-propagation neural networks for constrained approximate optimization

✍ Jongsoo Lee; Heeseok Jeong; Seongkyu Kang 📂 Article 📅 2007 🏛 Springer-Verlag 🌐 English ⚖ 410 KB

LONSA as a tool for loading pattern opti

LONSA as a tool for loading pattern optimization for VVER-1000 using synergy of a neural network and simulated annealing

✍ A.H. Fadaei; S. Setayeshi 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 759 KB

Intelligent methods for solving inverse

Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing

✍ Michael M. Li; William Guo; Brijesh Verma; Kevin Tickle; John O’Connor 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 343 KB