✦ LIBER ✦

Development and Validation of a New PCR Optimization Method by Combining Experimental Design and Artificial Neural Network

✍ Scribed by Ye Li; Xueling Du; Qipeng Yuan; Xinhua Lv

Book ID: 107565270
Publisher: Springer-Verlag
Year: 2009
Tongue: English
Weight: 232 KB
Volume: 160
Category: Article
ISSN: 0273-2289
DOI: 10.1007/s12010-009-8581-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Neural networks for optimization of high

Neural networks for optimization of high-performance capillary zone electrophoresis methods: A new method using a combination of experimental design and artificial neural networks

✍ J. Havel; E.M. Peña; A. Rojas-Hernández; J.-P. Doucet; A. Panaye 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 708 KB

Prediction of chiral separations using a

Prediction of chiral separations using a combination of experimental design and artificial neural networks

✍ Vlastimil Dohnal; Marta Farková; Josef Havel 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 208 KB 👁 2 views

In this work the advantages of using artificial neural networks (ANNs) combined with experimental design (ED) to optimize the separation of amino acids enantiomers, with ␣-cyclodextrin as chiral selector, were demonstrated. The results obtained with the ED-ANN approach were compared with those of ei

Optimization of the separation of a grou

Optimization of the separation of a group of triazine herbicides by micellar capillary electrophoresis using experimental design and artificial neural networks

✍ Sergio Frías-García; M. Jesús Sánchez; Miguel Ángel Rodríguez- Delgado 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 148 KB 👁 1 views

Experimental design-based development an

Experimental design-based development and single laboratory validation of a capillary zone electrophoresis method for the determination of the artificial sweetener sucralose in food matrices

✍ Josephine McCourt; Joerg Stroka; Elke Anklam 📂 Article 📅 2005 🏛 Springer 🌐 English ⚖ 347 KB

Pillar design by combining finite elemen

Pillar design by combining finite element methods, neural networks and reliability: a case study of the Feng Huangshan copper mine, China

✍ Deng, J. ;Yue, Z.Q. ;Tham, L.G. ;Zhu, H.H. 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 347 KB

This paper presents a mine pillar design approach by combining finite element methods (FEMs), neural networks (NN) and reliability analysis. This practical approach is presented by examining an actual cylindrical mine pillar in a copper mine and taking into account uncertainties in ore pillar materi