✦ LIBER ✦

A 2D approach to tomographic image reconstruction using a Hopfield-type neural network

✍ Scribed by Robert Cierniak

Book ID: 113469575
Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 921 KB
Volume: 43
Category: Article
ISSN: 0933-3657
DOI: 10.1016/j.artmed.2008.03.003

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Tomographic image reconstruction using A

Tomographic image reconstruction using Artificial Neural Networks

✍ P Paschalis; N.D Giokaris; A Karabarbounis; G.K Loudos; D Maintas; C.N Papanicol 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 350 KB

A Hopfield neural network approach to de

A Hopfield neural network approach to decentralized self-synchronizing sensor networks

✍ Giuseppe Martinelli 📂 Article 📅 2010 🏛 Springer-Verlag 🌐 English ⚖ 360 KB

A neural network approach to transform i

A neural network approach to transform image coding

✍ L. O. Chua; T. Lin 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 447 KB

A triangular connection Hopfield neural

A triangular connection Hopfield neural network approach to analog-to-digital conversion

✍ Po-Rong Chang; Bor-Chin Wang; Gong, H.M. 📂 Article 📅 1994 🏛 IEEE 🌐 English ⚖ 726 KB

Using a neural network approach for muon

Using a neural network approach for muon reconstruction and triggering

✍ E. Etzion; H. Abramowicz; Y. Benhammou; G. Dror; D. Horn; L. Levinson; R. Livneh 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 375 KB

The extremely high rate of events that will be produced in the future Large Hadron Collider requires the triggering mechanism to take precise decisions in a few nano-seconds. We present a study which used an artificial neural network triggering algorithm and compared it to the performance of a dedic

A solution to combinatorial optimization

A solution to combinatorial optimization problems using an accelerated hopfield neural network

✍ Takahumi Oohori; Hiroaki Yamamoto; Nenso Setsu; Kazuhisa Watanabe 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 829 KB