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IDEAL
2003
Springer
14 years 26 days ago
Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks
This paper exhaustively discusses and compares the performance differences between radial basis probabilistic neural networks (RBPNN) and radial basis function neural networks (RBF...
Wen-Bo Zhao, De-Shuang Huang, Lin Guo
IJON
2006
138views more  IJON 2006»
13 years 7 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong
CEC
2007
IEEE
14 years 2 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
TNN
2008
95views more  TNN 2008»
13 years 7 months ago
A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
Silvia Ferrari, Mark Jensenius
NCA
2011
IEEE
13 years 2 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong