𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Neural network analysis of molecular hyperpolarisabilities

✍ Scribed by R. W. Munn; N. S. Munn; K. J. Hardie

Book ID
111997911
Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
651 KB
Volume
4
Category
Article
ISSN
1616-301X

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Hypergraph analysis of neural networks
Hypergraph analysis of neural networks
✍ Clark Jeffries; P. van den Driessche πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 550 KB
Activity analysis of neural networks
Activity analysis of neural networks
✍ M. N. OgΕ­ztΓΆreli πŸ“‚ Article πŸ“… 1979 πŸ› Springer-Verlag 🌐 English βš– 773 KB

In a series of articles (Leung et al., 1973, 1974; OgΕ­ztΓΆreli, 1972, 1975, 1978, 1979; Stein et al., 1974) we have investigated some of the physiologically significant properties of a general neural model. In these papers the nature of the oscillations occuring in the model has been briefly analyzed

Harmonic Analysis of Neural Networks
Harmonic Analysis of Neural Networks
✍ Emmanuel J. CandΓ¨s πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 150 KB

It is known that superpositions of ridge functions (single hidden-layer feedforward neural networks) may give good approximations to certain kinds of multivariate functions. It remains unclear, however, how to effectively obtain such approximations. In this paper, we use ideas from harmonic analysis

Neural network analysis of complex trait
Neural network analysis of complex traits
✍ Paul R. Lucek; Jurg Ott πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 49 KB πŸ‘ 1 views

Neural networks are capable of simultaneously analyzing multiple loci at one time in order to identify patterns of loci involved in complex traits.