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FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
14 years 1 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu
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...
PRL
1998
132views more  PRL 1998»
13 years 7 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
ICANN
2007
Springer
13 years 11 months ago
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
ISCAS
2011
IEEE
278views Hardware» more  ISCAS 2011»
12 years 11 months ago
A programmable axonal propagation delay circuit for time-delay spiking neural networks
— we present an implementation of a programmable axonal propagation delay circuit which uses one first-order logdomain low-pass filter. Delays may be programmed in the 550ms rang...
Runchun Wang, Craig T. Jin, Alistair McEwan, Andr&...