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AE
2005
Springer
13 years 10 months ago
Simultaneous Optimization of Weights and Structure of an RBF Neural Network
Virginie Lefort, Carole Knibbe, Guillaume Beslon, ...
ISNN
2005
Springer
13 years 10 months ago
FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
Poyueh Chen, Hungming Tsai, ChengJian Lin, ChiYung...
ISNN
2007
Springer
13 years 11 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
CBMS
1997
IEEE
13 years 9 months ago
Radial basis function-based image segmentation using a receptive field
This paper presents a novel method for CT head image automatic segmentation. The images are obtained from patients having the spontaneous intra cerebral brain hemorrhage ICH. Th...
Domagoj Kovacevic, Sven Loncaric
NPL
2006
172views more  NPL 2006»
13 years 5 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou