Parameter optimization of a multi-response process for lead frame manufacturing by employing artificial neural networks

Parameter Optimization ◽

Lead Frame ◽

Response Process ◽

Process modeling and parameter optimization of surface coatings using artificial neural networks (ANNs): State-of-the-art review

Materials Today Proceedings ◽

10.1016/j.matpr.2020.08.695 ◽

2020 ◽

Author(s):

Uma Maheshwera Reddy Paturi ◽

Suryapavan Cheruku ◽

Satwik Reddy Geereddy

Keyword(s):

Neural Networks ◽

Parameter Optimization ◽

Process Modeling ◽

State Of The Art ◽

Surface Coatings ◽

Employing Artificial Neural Networks into Achieving Parameter Optimization of Multi-Response Problem with Different Importance Degree Consideration

Information Technology Journal ◽

10.3923/itj.2010.918.926 ◽

2010 ◽

Vol 9 (5) ◽

pp. 918-926 ◽

Cited By ~ 3

Author(s):

Kun-Lin Hsieh

Keyword(s):

Neural Networks ◽

Parameter Optimization ◽

2008 Joint International Conference on Power System Technology and IEEE Power India Conference ◽

Studies in Design of High Torque Three-Phase Squirrel-Cage AC Traction Motor with Aluminium Alloy Rotor Bars and Parameter Optimization using Artificial Neural Networks

10.1109/icpst.2008.4745161 ◽

2008 ◽

Author(s):

R. N. Paul ◽

L. D. Arya ◽

H. K. Verma

Keyword(s):

Neural Networks ◽

Aluminium Alloy ◽

Parameter Optimization ◽

Traction Motor ◽

Squirrel Cage ◽

Three Phase ◽

High Torque ◽

Process parameter optimization of biodiesel production from algal oil by response surface methodology and artificial neural networks

Fuel ◽

10.1016/j.fuel.2020.118254 ◽

2020 ◽

Vol 277 ◽

pp. 118254 ◽

Cited By ~ 8

Author(s):

Akshay Garg ◽

Siddharth Jain

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Response Surface ◽

Parameter Optimization ◽

Process Parameter ◽

Biodiesel Production ◽

Process Parameter Optimization ◽

Algal Oil ◽

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) ◽

Modeling and parameter optimization of rough rice drying using artificial neural networks

10.1109/ijcnn.2002.1005575 ◽

2003 ◽

Author(s):

Qinghua Zhang ◽

S.X. Yang

Keyword(s):

Neural Networks ◽

Parameter Optimization ◽

Rough Rice ◽

Artificial Neural ◽

Rice Drying

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 ◽