✦ LIBER ✦

The optimization of potential energy surface parameters for the CsCl + RbI system with the use of linear regression analysis

✍ Scribed by V. M. Azriel’; V. M. Akimov; L. Yu. Rusin; M. B. Sevryuk

Book ID: 111472670
Publisher: Pleiades Publishing
Year: 2010
Tongue: English
Weight: 806 KB
Volume: 4
Category: Article
ISSN: 1990-7931
DOI: 10.1134/s1990793110030012

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Optimization of artificial neural networ

Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression

✍ Igor Kuzmanovski; Slobotka Aleksovska 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 314 KB

The unit cell parameters (a, b, c) of orthorhombic perovskites (of A 2 + B 4 + O 3 and A 3 + B 3 + O 3 type) were predicted both using multiple linear regression analysis (MLR) and two types of artificial neural networks (ANN). In these analyses, 70 compounds of above perovskite type were included:

A linear programming approach for the op

A linear programming approach for the optimal planning of a future energy system. Potential contribution of energy recovery from municipal solid wastes

✍ G. Xydis; C. Koroneos 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 513 KB

Solution of parameter optimization probl

Solution of parameter optimization problems for the analysis and approximation of functional dependences with the use of a genetic algorithm

✍ A. B. Ivanov; A. A. Stratonnikov; S. I. Khol’shin; V. V. Shiryaev 📂 Article 📅 2009 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 243 KB

Completeness of systems of eigenfunction

Completeness of systems of eigenfunctions for the Sturm-Liouville operator with potential depending on the spectral parameter and for one non-linear problem

✍ Zhidkov, P E 📂 Article 📅 1997 🏛 Turpion Limited 🌐 English ⚖ 216 KB

The use of non-linear regression analysi

The use of non-linear regression analysis and the F test for model discrimination with dose-response curves and ligand binding data

✍ William G. Bardsley; Philip B. McGinlay 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 722 KB

Optimization of the Hamilton-Thorn Compu

Optimization of the Hamilton-Thorn Computerized Sperm Motility Analysis System for Use with Rat Spermatozoa in Toxicological Studies

✍ Valerie L. Slott; Juan D. Suarez; Paige M. Poss; Ralph E. Linder; Lillian F. Str 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 585 KB