498 search results - page 20 / 100 » Training Neural Networks with GA Hybrid Algorithms |
IJCNN
2008
IEEE
14 years 5 months ago
2008
IEEE
—The system architecture presented in this paper is designed for helping an aged person to live longer independently in their own home by detecting unusual and potentially hazard...
TNN
2010
13 years 5 months ago
2010
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
— Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLP’s, in particular for solving approximate dynamic pr...
ESWA
2008
13 years 11 months ago
2008
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 ...