𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Accelerating neural net dynamics by boundary layer methods

✍ Scribed by Willard L. Miranker; Eric Mjolsness


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
346 KB
Volume
6
Category
Article
ISSN
0893-9659

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


The neural tree classifier: Complex deci
✍ Roberto Molinari; Amro El-Jaroudi πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 475 KB

Multi-layer neural networks have the ability to create non-linear classification boundaries when used for pattern recognition. These nets suffer from slow training times as well as high computational requirements. Single-layer nets (SLNs) avoid these disadvantages but cannot provide non-linear decis

Non-linear modelling of chemical data by
✍ Beata Walczak; Wolfhard Wegscheider πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 817 KB

The combinations of classical bilinear models and neural nets, extended to neural net models on residuals from partial least squares (PLS) are discussed. The performances of principal component regression (PCR), PLS, neural networks (NN), principal component analysis (PCA)-NN and PLS residuals-NN ar

Computational fluid dynamics by boundary
✍ L. Ε kerget; M. HriberΕ‘ek; G. Kuhn πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 220 KB

A boundary-domain integral method for the solution of general transport phenomena in incompressible uid motion given by the Navier-Stokes equation set is presented. Velocity-vorticity formulation of the conservation equations is employed. Di erent integral representations for conservation ΓΏeld funct