Prediction of retention at historically black college/university using artificial neural networks

Historically Black ◽

Black College ◽

Historically Black College ◽

Prediction Of Retention ◽

Application of artificial neural networks for prediction of retention factors of triazine herbicides in reversed-phase liquid chromatography

Journal of Chromatography A ◽

10.1016/j.chroma.2005.04.038 ◽

2005 ◽

Vol 1076 (1-2) ◽

pp. 163-169 ◽

Cited By ~ 39

Author(s):

Fabrizio Ruggieri ◽

Angelo Antonio D’Archivio ◽

Giuseppe Carlucci ◽

Pietro Mazzeo

Keyword(s):

Neural Networks ◽

Liquid Chromatography ◽

Reversed Phase ◽

Triazine Herbicides ◽

Reversed Phase Liquid Chromatography ◽

Retention Factors ◽

Prediction Of Retention ◽

Phase Liquid ◽

Prediction of retention times for anions in ion chromatography using Artificial Neural Networks

Chromatographia ◽

10.1007/bf02467746 ◽

1999 ◽

Vol 49 (9-10) ◽

pp. 481-488 ◽

Cited By ~ 48

Author(s):

J. Havel ◽

J. E. Madden ◽

P. R. Haddad

Keyword(s):

Neural Networks ◽

Ion Chromatography ◽

Prediction Of Retention ◽

Artificial Neural ◽

Prediction Of Retention Times

Large artificial neural networks applied to the prediction of retention indices of acyclic and cyclic alkanes, alkenes, alcohols, esters, ketones and ethers

Computers & Chemistry ◽

10.1016/s0097-8485(98)00001-1 ◽

1998 ◽

Vol 22 (5) ◽

pp. 405-412 ◽

Cited By ~ 14

Author(s):

Aixia Yan ◽

Ruisheng Zhang ◽

Mancang Liu ◽

Zhide Hu ◽

M.A. Hooper ◽

...

Keyword(s):

Neural Networks ◽

Retention Indices ◽

Cyclic Alkanes ◽

Prediction Of Retention ◽

Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks

Journal of Chromatography A ◽

10.1016/s0021-9673(00)01185-7 ◽

2001 ◽

Vol 910 (1) ◽

pp. 173-179 ◽

Cited By ~ 46

Author(s):

John E Madden ◽

Nebojsa Avdalovic ◽

Paul R Haddad ◽

Josef Havel

Keyword(s):

Neural Networks ◽

Ion Chromatography ◽

Gradient Elution ◽

Linear Gradient ◽

Prediction Of Retention ◽

Artificial Neural ◽

Prediction Of Retention Times

Prediction of Retention Level and Mechanical Strength of Plywood Treated With Fire Retardant Chemicals by Artificial Neural Networks

Journal of Anatolian Environmental and Animal Sciences ◽

10.35229/jaes.825435 ◽

2020 ◽

Vol 5 (5) ◽

pp. 785-792

Author(s):

Şükrü ÖZŞAHİN ◽

Aydın DEMİR ◽

İ̇smail AYDIN

Keyword(s):

Neural Networks ◽

Mechanical Strength ◽

Fire Retardant ◽

Retention Level ◽

Prediction Of Retention ◽

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Organizational Issues ◽

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Diagnosis And Prognosis ◽

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Space Exploration ◽