Prediction of the pH and the temperature-dependent swelling behavior of Ca2+-alginate hydrogels by artificial neural networks

Swelling Behavior ◽

Temperature Dependent ◽

Alginate Hydrogels ◽

Response to comments on “Prediction of the pH and the temperature-dependent swelling behavior of Ca2+-alginate hydrogels by artificial neural networks”

Chemical Engineering Science ◽

10.1016/j.ces.2009.01.001 ◽

2009 ◽

Vol 64 (8) ◽

pp. 1908

Author(s):

Mehmet Levent Koç ◽

Ülkü Özdemir ◽

Dilek İmren

Keyword(s):

Neural Networks ◽

Swelling Behavior ◽

Temperature Dependent ◽

Alginate Hydrogels ◽

Artificial neural networks for temperature dependent noise modeling of microwave transistors

International Journal of Electronics ◽

10.1080/00207210701464634 ◽

2007 ◽

Vol 94 (8) ◽

pp. 759-767 ◽

Cited By ~ 3

Author(s):

Z. D. Marinković ◽

O. R. Pronić ◽

J. B. RanĐelović ◽

V. V. Marković

Keyword(s):

Neural Networks ◽

Temperature Dependent ◽

Microwave Transistors ◽

Noise Modeling ◽

Development of Temperature Dependent Retention Models in Ion Chromatography by the Cascade Forward and Back Propagation Artificial Neural Networks

Journal of Liquid Chromatography &amp Related Technologies ◽

10.1080/10826070903287815 ◽

2009 ◽

Vol 32 (19) ◽

pp. 2765-2778 ◽

Cited By ~ 3

Author(s):

Tomislav Bolanča ◽

Štefica Cerjan Stefanović ◽

Šime Ukić ◽

Marko Rogošić

Keyword(s):

Neural Networks ◽

Ion Chromatography ◽

Back Propagation ◽

Temperature Dependent ◽

Retention Models ◽

On temperature‐dependent small‐signal modelling of GaN HEMTs using artificial neural networks and support vector regression

IET Microwaves Antennas & Propagation ◽

10.1049/mia2.12112 ◽

2021 ◽

Author(s):

Anwar Jarndal ◽

Saddam Husain ◽

Mohammad Hashmi

Keyword(s):

Neural Networks ◽

Support Vector Regression ◽

Support Vector ◽

Small Signal ◽

Temperature Dependent ◽

Gan Hemts ◽

Artificial Neural ◽

Signal Modelling

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 ◽