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» Variable selection using neural-network models
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DSS
2008
91views more  DSS 2008»
13 years 8 months ago
Modeling consumer situational choice of long distance communication with neural networks
This study shows how artificial neural networks can be used to model consumer choice. Our study focuses on two key issues in neural network modeling
Michael Y. Hu, Murali S. Shanker, G. Peter Zhang, ...
EVOW
2009
Springer
13 years 6 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
NN
2000
Springer
165views Neural Networks» more  NN 2000»
13 years 8 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
ESWA
2008
223views more  ESWA 2008»
13 years 8 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
ISCAS
2011
IEEE
278views Hardware» more  ISCAS 2011»
13 years 6 days 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&...