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by Jari Kyngas, Juha Hakkarainen
http://cs.joensuu.fi/~jkyngas/jarijuha.ps
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Abstract:
Abstract. We have analyzed the Wolf's sunspot series in order to construct an evolutionary optimized feedforward neural network model to predict the yearly sunspot number average. We compare the results of our model to the results of the neural network model constructed by Weigend, Huberman and Rumelhart and to the results of a SETAR model identified by Ghaddar and Tong, which is taken to be the best statistical model to predict sunspot numbers. Neural network models perform well in this comparison. If threshold information is included in the neural network models then they clearly outperform the statistical non-linear threshold models.
Citations
|
2138
|
Learning Internal Representations by Error Propagation
– Rumelhart, Hinton, et al.
- 1986
|
|
878
|
Multilayer feedforward networks are universal approximators
– Hornik, Stinchcombe, et al.
- 1989
|
|
194
|
Designing neural networks using genetic algorithms
– Miller, Todd, et al.
- 1989
|
|
181
|
Non-Linear Time Series: A Dynamical System Approach
– Tong
- 1990
|
|
161
|
Predicting the future: a connectionist approach
– Weigend, Huberman, et al.
- 1990
|
|
155
|
Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets
– Gorman, Sejnowski
- 1988
|
|
122
|
Nettalk: A parallel network that learns to read aloud
– Sejnowski, Rosenberg
- 1986
|
|
88
|
Practical Neural Network Recipes in C
– Masters
- 1993
|
|
78
|
An indexed bibliography of genetic algorithms: Years 1957-1993
– Alander
- 1995
|
|
71
|
Threshold Models in Non-linear Time Series Analysis
– TONG
- 1983
|
|
19
|
Signal and Image Processing with Neural Networks
– Masters
- 1994
|
|
12
|
Why Tanh: Choosing a Sigmoidal Function
– Kalman, Kwasny
- 1992
|
|
11
|
A superior error function for training neural nets
– Kalman, Kwasny
- 1991
|
|
1
|
A neural real time system for Larsen effect elimination
– Casalgrandi, Storti-Gajani
|
|
1
|
A new method for defining parameters to SETAR models
– Kyngas
- 1996
|
|
1
|
A review of evolutionay artificial neural networks
– Yao
- 1993
|