Optimization of laser processing parameters through automated data acquisition and artificial neural networks

Data Acquisition ◽

Laser Processing ◽

Processing Parameters ◽

Artificial Neural ◽

Automated Data Acquisition

Bi-directional Prediction between Weld Penetration and Processing Parameters in Electron Beam Welding Using Artificial Neural Networks

Advances in Neural Networks – ISNN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01513-7_121 ◽

2009 ◽

pp. 1097-1105 ◽

Cited By ~ 1

Author(s):

Xianfeng Shen ◽

Wenrong Huang ◽

Chao Xu ◽

Xingjun Wang

Keyword(s):

Neural Networks ◽

Electron Beam ◽

Electron Beam Welding ◽

Processing Parameters ◽

Weld Penetration ◽

Use of artificial neural networks to predict the properties of replicated open-cell aluminum alloy foam via processing parameters of melt squeezing procedure

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2013.05.026 ◽

2013 ◽

Vol 51 ◽

pp. 1035-1044 ◽

Cited By ~ 9

Author(s):

Ramin Jamshidi-Alashti ◽

Mohsen Mohammadi Zahrani ◽

Behzad Niroumand

Keyword(s):

Neural Networks ◽

Aluminum Alloy ◽

Processing Parameters ◽

Open Cell ◽

5th International Conference on Intelligent Systems Design and Applications (ISDA'05) ◽

Effectiveness of artificial neural networks adaptation according to time period of training data acquisition

10.1109/isda.2005.43 ◽

2005 ◽

Cited By ~ 1

Author(s):

A. Horzyk ◽

E. Dudek-Dyduch

Keyword(s):

Neural Networks ◽

Data Acquisition ◽

Training Data ◽

Time Period ◽

Artificial neural networks for fault detection in large-scale data acquisition systems

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2004.03.002 ◽

2004 ◽

Vol 17 (3) ◽

pp. 233-248 ◽

Cited By ~ 19

Author(s):

S.M. Jakubek ◽

T.I. Strasser

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Data Acquisition ◽

Large Scale ◽

Data Acquisition Systems ◽

Large Scale Data ◽

Artificial Neural ◽

Scale Data

Effects of processing parameters on particle size of ultrasound prepared chitosan nanoparticles: An Artificial Neural Networks Study

Pharmaceutical Development and Technology ◽

10.3109/10837450.2012.696269 ◽

2012 ◽

Vol 17 (5) ◽

pp. 638-647 ◽

Cited By ~ 25

Author(s):

Elina Esmaeilzadeh-Gharedaghi ◽

Mohammad Ali Faramarzi ◽

Mohammad Ali Amini ◽

Abdolhossein Rouholamini Najafabadi ◽

Seyed Mahdi Rezayat ◽

...

Keyword(s):

Neural Networks ◽

Particle Size ◽

Chitosan Nanoparticles ◽

Processing Parameters ◽

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 ◽