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» A Theory of Non-Deterministic Networks
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ICNSC
2007
IEEE
15 years 5 months ago
Associative Memory for Noisy and Structurally Deformed Two-Dimensional Images Using Neural Networks
—This paper studies the problem of understanding noisy and structurally deformed two-dimensional images by means of abstractly defined neural works. First, in the framework of sy...
Hiroshi Inaba, Tomoki Takahashi, Keylan Alimhan
IJCNN
2006
IEEE
15 years 5 months ago
Effective Training Methods for Function Localization Neural Networks
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy
FMCAD
2006
Springer
15 years 3 months ago
Synchronous Elastic Networks
We formally define--at the stream transformer level--a class of synchronous circuits that tolerate any variability in the latency of their environment. We study behavioral properti...
Sava Krstic, Jordi Cortadella, Michael Kishinevsky...
DAM
2006
63views more  DAM 2006»
14 years 11 months ago
Efficient automatic simulation of parallel computation on networks of workstations
Andrews et al. [Automatic method for hiding latency in high bandwidth networks, in: Proceedings of the ACM Symposium on Theory of Computing, 1996, pp. 257
Christos Kaklamanis, Danny Krizanc, Manuela Montan...