Study on Dynamic Adsorption of Complex System In Solid-Liquid Phase Modelling Using Artificial Neural Networks

Liquid Phase ◽

Dynamic Adsorption ◽

Artificial Neural ◽

Solid Liquid

Modelling the solid–liquid adsorption processes using artificial neural networks trained by pseudo second order kinetics

Chemical Engineering Journal ◽

10.1016/j.cej.2008.07.026 ◽

2009 ◽

Vol 148 (1) ◽

pp. 20-25 ◽

Cited By ~ 47

Author(s):

K. Vasanth Kumar ◽

K. Porkodi

Keyword(s):

Neural Networks ◽

Second Order ◽

Liquid Adsorption ◽

Adsorption Processes ◽

Pseudo Second Order ◽

Artificial Neural ◽

Solid Liquid

Sensitivity analysis of artificial neural networks for just-suspension speed prediction in solid-liquid mixing systems: Performance comparison of MLPNN and RBFNN

Advanced Engineering Informatics ◽

10.1016/j.aei.2019.02.004 ◽

2019 ◽

Vol 39 ◽

pp. 278-291 ◽

Cited By ~ 8

Author(s):

Shaliza Ibrahim ◽

Choe Earn Choong ◽

Ahmed El-Shafie

Keyword(s):

Neural Networks ◽

Sensitivity Analysis ◽

Performance Comparison ◽

Liquid Mixing ◽

Speed Prediction ◽

Artificial Neural ◽

Solid Liquid

Performance assessment of gas-phase toluene removal in one- and two-liquid phase biotrickling filters using artificial neural networks

Chemosphere ◽

10.1016/j.chemosphere.2019.06.040 ◽

2019 ◽

Vol 234 ◽

pp. 388-394 ◽

Cited By ~ 5

Author(s):

Mohammad Amin Boojari ◽

Seyed Morteza Zamir ◽

Eldon R. Rene ◽

Seyed Abbas Shojaosadati

Keyword(s):

Neural Networks ◽

Liquid Phase ◽

Performance Assessment ◽

Gas Phase ◽

Biotrickling Filters ◽

Toluene Removal ◽

Using Artificial Neural Networks to Model Non-Linearity in a Complex System

Artificial Neural Nets and Genetic Algorithms ◽

10.1007/978-3-7091-6492-1_13 ◽

1998 ◽

pp. 58-61

Author(s):

P. Weller ◽

A. Thompson ◽

R. Summers

Keyword(s):

Complex System ◽

Neural Networks ◽

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 ◽

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Cited By ~ 1

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽