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» Functional preprocessing for multilayer perceptrons
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ICONIP
1998
13 years 8 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
TNN
2008
181views more  TNN 2008»
13 years 7 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
ICANN
2007
Springer
14 years 1 months ago
Inferring Cognition from fMRI Brain Images
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
Diego Sona, Sriharsha Veeramachaneni, Emanuele Oli...
PR
2006
112views more  PR 2006»
13 years 7 months ago
RBF-based neurodynamic nearest neighbor classification in real pattern space
Superposition of radial basis functions centered at given prototype patterns constitutes one of the most suitable energy forms for gradient systems that perform nearest neighbor c...
Mehmet Kerem Müezzinoglu, Jacek M. Zurada
CBMS
1997
IEEE
13 years 11 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