✦ LIBER ✦

Neural network ensembles as models of interdependence in collective behavior

✍ Scribed by V.F. Artyushkin; A.V. Belyayev; Y.M. Sandler; V.M. Sergeyev

Publisher: Elsevier Science
Year: 1990
Tongue: English
Weight: 621 KB
Volume: 19
Category: Article
ISSN: 0165-4896
DOI: 10.1016/0165-4896(90)90059-g

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Multi-model ensemble (MME) prediction of

Multi-model ensemble (MME) prediction of rainfall using neural networks during monsoon season in India

✍ Ashok Kumar; A. K. Mitra; A. K. Bohra; G. R. Iyengar; V. R. Durai 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 1017 KB

## Abstract The prediction of Asian summer monsoon rainfall on various space and time scales is still a difficult task. Compared to the mid‐latitudes, proportional improvement in the skill in prediction of monsoon rainfall in medium range has been less in recent years. Global models and data assimi

Behavior Of Silica Aerogel Networks as H

Behavior Of Silica Aerogel Networks as Highly Porous Solid Solvent Media for Lipases in a Model Transesterification Reaction

✍ H. El Rassy; A. Perrard; A. C. Pierre 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 276 KB 👁 1 views

Artificial neural networks as a tool for

Artificial neural networks as a tool for soft-modelling in quantitative analytical chemistry: the prediction of the water content of cheese

✍ A. Bos; M. Bos; W.E. van der Linden 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 951 KB