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EAAI
2006
157views more  EAAI 2006»
13 years 4 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
ISNN
2005
Springer
13 years 10 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...
IEAAIE
2005
Springer
13 years 10 months ago
A SOM Based Approach for Visualization of GSM Network Performance Data
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
Pasi Lehtimäki, Kimmo Raivio
ESANN
2003
13 years 6 months ago
Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
In this paper, we present an algorithm that minimizes the mutual information between the outputs of a perceptron with two hidden layers. The neural network is then used as separati...
Rubén Martín-Clemente, Susana Hornil...