—A new application of the NN ensemble approach is presented. It is applied to NN emulations of model physics in complex numerical climate models, and aimed at improving the accur...
Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsk...
—In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative ...
Deaho Cha, Michael Blumenstein, Hong Zhang, Dong-S...
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
Associativity, auto-reversibility and question-answering are the three intrinsic functions to be investigated for the proposed Q’tron Neural Network (NN) model. A Q’tron NN pos...