Published 1992 | Version v1
Miscellaneous Open

Neural networks. A new analytical tool, applicable also in nuclear technology

Creators

  • 1. Inst. Jozef Stefan, Ljubljana (Slovenia)

Description

The basic concept of neural networks and back propagation learning algorithm are described. The behaviour of typical neural network is demonstrated on a simple graphical case. A short literature survey about the application of neural networks in nuclear science and engineering is made. The application of the neural network to the probability density calculation is shown. (author)

Abstract (Slovenian)

Opisana je osnova nevronskih mrez in back propagation nacina njihovega ucenja. Obnasanje enostavne nevronske mreze je prikazano na graficnem primeru. Podan je kratek pregled literaure o uporabi nevronskih mrez v jedrski znanosti in tehnologiji. Prikazana je tudi uporaba nevronske mreze pri izracunu verjetnostne porazdelitve. (author)

Files

38056719.pdf

Files (292.9 kB)

Name Size Download all
md5:6fe5776d1213d99fcc3da7d6206fcbea
292.9 kB Preview Download
Part of:
First Meeting of the Nuclear Society of Slovenia, Proceedings

Additional details

Publishing Information

Publisher
Nuclear Society of Slovenia
Imprint Place
Ljubljana (Slovenia)
ISBN
961-90004-0-4
Imprint Title
First Meeting of the Nuclear Society of Slovenia, Proceedings
Imprint Pagination
332 p.
Journal Page Range
p. 162-168
Report number
INIS-SI--07-001

Conference

Title
First Meeting of the Nuclear Society of Slovenia
Dates
11-12 Jun 1992
Place
Bovec (Slovenia)

INIS

Country of Publication
Slovenia
Country of Input or Organization
Slovenia
INIS RN
38056719
Subject category
S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; ANALYTICAL SOLUTION; APPROPRIATE TECHNOLOGY; COMPUTER CALCULATIONS; DENSITY; NEURAL NETWORKS
Descriptors DEC
MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; PHYSICAL PROPERTIES

Optional Information

Notes
10 refs., 8 figs. Imprint:332 refs., 50 tabs., 133 figs.