论文信息 - Neural Network Modelling: Perspectives of Application for Monitoring and Forecasting Physical-Chemical Variables in the Boundary Layer

Neural Network Modelling: Perspectives of Application for Monitoring and Forecasting Physical-Chemical Variables in the Boundary Layer

The aim of this paper is to present environmental applications of a technique of neural network modelling, which demonstrates its usefulness in the simulation of real systems that are complex, time-changing and characterised by many feed-back processes, such as the atmospheric pollution environment.

Antonello Pasini | Sergio Potestà

[1] I. Allegrini,et al. Monitoring of the nocturnal mixed layer by means of participate radon progeny measurement , 1994 .

[2] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.

[3] Antonello Pasini,et al. Short-range visibility forecast by means of neural-network modelling: a case-study , 1995 .

[4] Marija Zlata Boznar,et al. A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain , 1993 .