✦ LIBER ✦

An optimization problem related to neural networks

✍ Scribed by A.J.E.M. Janssen

Publisher: Elsevier Science
Year: 1991
Tongue: English
Weight: 317 KB
Volume: 37
Category: Article
ISSN: 0020-0190
DOI: 10.1016/0020-0190(91)90036-h

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A learning rule for neural networks with

A learning rule for neural networks with an application to an optimization problem

✍ Samir Sayech; Mancel F. Tenorio 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 110 KB

An optimal control model of neural netwo

An optimal control model of neural networks for constrained optimization problems

✍ Qiang Song; Robert P. Leland 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 67 KB 👁 2 views

Optimization neural networks have been studied and applied in the literature, and the mechanism of such neural networks has been investigated from the point of view of optimization theory. Yet, no studies have been found by the authors to investigate the mechanism from a control systems' perspective

Neural networks for constrained optimiza

Neural networks for constrained optimization problems

✍ Walter E. Lillo; Stefen Hui; Stanislaw H. Żak 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 592 KB

An application of neural networks to a n

An application of neural networks to a non-linear dynamics problem

✍ S. Tomasiello 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 209 KB

Studying the performance of artificial n

Studying the performance of artificial neural networks on problems related to cryptography

✍ E.C. Laskari; G.C. Meletiou; D.K. Tasoulis; M.N. Vrahatis 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 168 KB

Cryptosystems rely on the assumption that a number of mathematical problems are computationally intractable, in the sense that they cannot be solved in polynomial time. Numerous approaches have been applied to address these problems. In this paper, we consider artificial neural networks and study th

Geometrical solution methods for an opti

Geometrical solution methods for an optimal software release problem using artificial neural networks

✍ Tadashi Dohi; Yasuhiko Nishio; Yasuhide Shinohara; Shunji Osaki 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 190 KB 👁 2 views

Generally, to find the optimal release time for a software product, the parametric estimation values of the mean value function, which characterizes the software reliability growth model, are determined from the fault detection time data observed during the testing phase, and an analytical method is