Artificial neural networks applied to quantitative elemental analysis of organic material using PIXE
✍ Scribed by R. Correa; M.A. Chesta; J.R. Morales; M.I. Dinator; I. Requena; I. Vila
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 165 KB
- Volume
- 248
- Category
- Article
- ISSN
- 0168-583X
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Inspired by the biological nerve system, artificial neural networks (ANN) have been tools of artificial intelligence for data classification and pattern recognition, and can be used to simulate a wide variety of non-linear complex scientific systems. Artificial neural networks are being used in medi
## Abstract The main aim of this study was the development of a quantitative structure–property relationship method using an artificial neural network (ANN) for predicting the water‐to‐wet butyl acetate partition coefficients of organic solutes. As a first step, a genetic algorithm‐multiple linear