๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Compartmental modelling with artificial neural networks

โœ Scribed by Christopher J. Coomber


Publisher
Springer US
Year
1995
Tongue
English
Weight
430 KB
Volume
2
Category
Article
ISSN
1370-4621

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Modelling deforestation using GIS and ar
โœ J.F. Mas; H. Puig; J.L. Palacio; A. Sosa-Lรณpez ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 631 KB

This study aims to predict the spatial distribution of tropical deforestation. Landsat images dated 1974Landsat images dated , 1986Landsat images dated and 1991 were classified in order to generate digital deforestation maps which locate deforestation and forest persistence areas. The deforestation

Modelling combined open channel flow by
โœ Han-Chung Yang; Fi-John Chang ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 513 KB

## Abstract Combined open channel flow is encountered in many hydraulic engineering structures and processes, such as irrigation ditches and wastewater treatment facilities. Extensive experimental studies have conducted to investigate combined flow characteristics. Nevertheless, there is no simple

Using artificial neural networks for pro
โœ A Verikas; M Bacauskiene ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 116 KB

This letter concerns several papers, devoted to neural network-based process and system modelling, recently published in the Chemometrics and Intelligent Laboratory Systems journal. Artificial neural networks have proved themselves to be very useful in various modelling applications, because they ca

Modelling neural networks
โœ Bikas K. Chakrabarti; Prabir K. Dasgupta ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 720 KB

We review here briefly some of our recent studies on neural network modelling. We discuss the studies on relaxation and growth of correlation in the Hopfield model, increase in memory loading capacity with an extended Hopfield-like model with delayed dynamics, the prediction capability of time serie