𝔖 Bobbio Scriptorium
✦   LIBER   ✦

New approaches to QSAR: Neural networks and machine learning

✍ Scribed by Ross D. King; Jonathan D. Hirst; Michael J. E. Sternberg


Publisher
Springer
Year
1993
Tongue
English
Weight
838 KB
Volume
1
Category
Article
ISSN
0928-2866

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Neural networks as content addressable m
✍ Roland KΓΆberle πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 553 KB

Some apects of content addressable memories implemented by neural networks are discussed, such as storage capacity, non-orthogonal memories, transparency to the outside world, non-equilibrium states, smooth forgetting, etc. As opposed to the usual yon Neumann computers, neural nets are not programme

Advances in artificial neural networks,
✍ J.A. Lee; F.-M. Schleif; Thomas Martinetz πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 74 KB

This special issue of Neurocomputing presents 15 original articles that are extended versions of selected papers from the 18th European Symposium on Artificial Neural Networks (ESANN), a major event for researchers in the fields of artificial neural networks, machine learning, computational intellig

Artificial neural networks-based approac
✍ Jagdish C. Patra; Onkar Singh πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 744 KB

## Abstract In this article, in the first part, we propose an artificial neural network‐based intelligent technique to determine the quantitative structure‐activity relationship (QSAR) among known aldose reductase inhibitors (ARIs) for diabetes mellitus using two molecular descriptors, i.e., the el