✦ LIBER ✦

Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks

✍ Scribed by S.A Abdul-Wahab; S.M Al-Alawi

Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 259 KB
Volume: 17
Category: Article
ISSN: 1364-8152
DOI: 10.1016/s1364-8152(01)00077-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Artificial Neural Network Prediction of

Artificial Neural Network Prediction of Tropospheric Ozone Concentrations in Istanbul, Turkey

✍ Fikrat Inal 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 25 KB

Artificial Neural Network Prediction of

Artificial Neural Network Prediction of Tropospheric Ozone Concentrations in Istanbul, Turkey

✍ Fikret Inal 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 796 KB

Prediction of sulphur dioxide concentrat

Prediction of sulphur dioxide concentration using artificial neural networks

✍ Asha B Chelani; C.V Chalapati Rao; K.M Phadke; M.Z Hasan 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 224 KB

A three-layer neural network model with a hidden recurrent layer is used to predict sulphur dioxide concentration and the predicted values are compared with the measured concentrations at three sites in Delhi. The Levenberg-Marquardt algorithm is used to train the network. The neural network is used

Prediction of properties of rubber by us

Prediction of properties of rubber by using artificial neural networks

✍ V. Vijayabaskar; Rakesh Gupta; P. P. Chakrabarti; Anil K. Bhowmick 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 139 KB 👁 2 views

Prediction of surface crown pillar stabi

Prediction of surface crown pillar stability using artificial neural networks

✍ A. S. Tawadrous; P. D. Katsabanis 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 394 KB

Prediction of safe sea-state using finit

Prediction of safe sea-state using finite element method and artificial neural networks

✍ S.F. Yasseri; H. Bahai; H. Bazargan; A. Aminzadeh 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 340 KB

This article proposes a predictive method for identifying the range of sea-states considered safe for the installation of offshore structures. A finite element dynamic analysis of the system for various sea-states characterized by significant wave heights and mean zero-up-crossing wave periods and m