Attribution and detection of anthropogenic climate change using a backpropagation neural network
The climate system can be regarded as a dynamic nonlinear system. Thus traditional linear statistical methods are not suited to describe the nonlinearities of this system which renders it necessary to find alternative statistical techniques to model those nonlinear properties. In addition to an earl...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Borntraeger
2002-10-01
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Series: | Meteorologische Zeitschrift |
Online Access: | http://dx.doi.org/10.1127/0941-2948/2002/0011-0335 |