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WSCG
2004
95views more  WSCG 2004»
15 years 3 months ago
Wave Height Forecasting Using Cascade Correlation Neural Network
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...
Hamidreza Rashidy Kanan, Karim Faez
CEC
2008
IEEE
15 years 8 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
IJCNN
2000
IEEE
15 years 6 months ago
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
Jani Lahtinen, Tomas Martinsen, Jouko Lampinen
NPL
2002
151views more  NPL 2002»
15 years 1 months ago
Additive Composition of Supervised Self Organizing Maps
The learning of complex relationships can be decomposed into several neural networks. The modular organization is determined by prior knowledge of the problem that permits to split...
Jean-Luc Buessler, Jean-Philippe Urban, Julien Gre...
NIPS
2000
15 years 3 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...