✦ LIBER ✦

The use of artificial neural networks in materials science based research

✍ Scribed by W. Sha; K.L. Edwards

Publisher: Elsevier Science
Year: 2007
Weight: 174 KB
Volume: 28
Category: Article
ISSN: 0261-3069
DOI: 10.1016/j.matdes.2007.02.009

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

The use of artificial neural networks in

The use of artificial neural networks in PVT-based radiation portal monitors

✍ Lars J. Kangas; Paul E. Keller; Edward R. Siciliano; Richard T. Kouzes; James H. 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 745 KB

Skill-based vehicle guidance by use of a

Skill-based vehicle guidance by use of artificial neural networks

✍ Wolfgang Daxwanger; Günther Schmidt 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 663 KB

The use of artificial neural networks in

The use of artificial neural networks in plasma spectroscopy

✍ W.L. Morgan; J.T. Larsen; W.H. Goldstein 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 509 KB

Classification of Dopamine Antagonists U

Classification of Dopamine Antagonists Using TFS-Based Artificial Neural Network.

✍ Satoshi Fujishima; Yoshimasa Takahashi 📂 Article 📅 2004 🏛 John Wiley and Sons ⚖ 82 KB

A Computational Estimation of Cyclic Mat

A Computational Estimation of Cyclic Material Properties Using Artificial Neural Networks

✍ A. Tomasella; C. el Dsoki; H. Hanselka; H. Kaufmann 📂 Article 📅 2011 🏛 Elsevier 🌐 English ⚖ 941 KB

The structural durability design of components requires the knowledge of cyclic material properties. These parameters are strongly dependent on environmental conditions and manufacturing processes, and require many experimental tests to be correctly determined. Considering time and costs, it is not

Reliability analysis of structures using

Reliability analysis of structures using artificial neural network based genetic algorithms

✍ Jin Cheng; Q.S. Li 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 221 KB

A new class of artificial neural network based genetic algorithms (ANN-GA) has been developed for reliability analysis of structures. The methods involve the selection of training datasets for establishing an ANN model by the uniform design method, approximation of the limit state function by the tr