In the first part of this study, a method for classifying non-linear systems using neural networks was proposed and validated using data from numerical simulation. In order to extend this validation to experimental data, a system was required with a repeatable non-linearity of controllable severity,
β¦ LIBER β¦
Modelling non-linearity in economic classification with neural networks
β Scribed by Hennie Daniels; Bart Kamp; William Verkooijen
- Book ID
- 111659406
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 126 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1055-615X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Modeling and classification of non-linea
β
K. Worden; G.R. Tomlinson; W. Lim; G. Sauer
π
Article
π
1994
π
Elsevier Science
π
English
β 679 KB
Non-linear modelling with a coupled neur
β
Greger Andersson; Peter Kaufmann; Lars Renberg
π
Article
π
1996
π
John Wiley and Sons
π
English
β 485 KB
π 2 views
In this work a methodology is presented for the transformation of non-linear response data via a neural network and subsequent standard linear PLS regression. The superb transparency of linear PLS is retained with respect to the diagnostic capabilities via residual analysis and leverage, thus making
Forecasting economic magnitudes with neu
β
Agustin Alonso-Rodriguez
π
Article
π
1999
π
Springer US
π
English
β 1011 KB
Neural network for non-linear programmin
β
StanisΕsaw Osowski
π
Article
π
1992
π
John Wiley and Sons
π
English
β 326 KB
Neural network classification in non-hom
β
A. Yu. Dorogov; V. Yu. Lesnykh
π
Article
π
2011
π
Allerton Press, Inc.
π
English
β 405 KB
Developing robust non-linear models thro
β
Jie Zhang
π
Article
π
1999
π
Elsevier Science
π
English
β 335 KB