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ESANN
2008
13 years 9 months ago
Initialization mechanism in Kohonen neural network implemented in CMOS technology
An initialization mechanism is presented for Kohonen neural network implemented in CMOS technology. Proper selection of initial values of neurons' weights has a large influenc...
Tomasz Talaska, Rafal Dlugosz
IJCAI
1997
13 years 9 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
NPL
1998
129views more  NPL 1998»
13 years 7 months ago
Extraction of Logical Rules from Neural Networks
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
IDEAL
2010
Springer
13 years 6 months ago
Dimension Reduction for Regression with Bottleneck Neural Networks
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
Elina Parviainen
EVOW
2006
Springer
13 years 11 months ago
A Neural Evolutionary Classification Method for Brain-Wave Analysis
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approach...
Antonia Azzini, Andrea Tettamanzi