𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The Application of Artificial Neural Networks for the Prediction of Water Quality of Polluted Aquifer

✍ Scribed by F. Gümrah; B. Öz; B. Güler; S. Evin


Book ID
110220643
Publisher
Springer Netherlands
Year
2000
Tongue
English
Weight
210 KB
Volume
119
Category
Article
ISSN
0049-6979

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Application of artificial neural network
✍ Ruisheng Zhang; Aixia Yan; Mancang Liu; Han Liu; Zhide Hu 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 164 KB

## Ž . Ž . Artificial neural networks ANN with extended delta-bar-delta EDBD learning algorithms were used to predict the retention indices of alkylbenzenes. The data used in this paper include 96 retention indices of 32 alkylbenzenes on three different stationary phases. Four parameters: temperat

Optimal selection of artificial neural n
✍ Ioannis C. Trichakis; Ioannis K. Nikolos; George P. Karatzas 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 834 KB

## Abstract The simulation of karstic aquifers is difficult using traditional groundwater numerical simulators, as the exact knowledge of the hydraulic characteristics of the physical system in small scale is rarely available and the numerical simulators produce results of limited reliability. In t