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BMCBI
2006
94views more  BMCBI 2006»
14 years 9 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
15 years 4 months ago
Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...
AUTOMATICA
2006
90views more  AUTOMATICA 2006»
14 years 9 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
ESOA
2006
15 years 1 months ago
An Analysis and Design Concept for Self-organization in Holonic Multi-agent Systems
Holonic Multi-Agent Systems (HMAS) are a convenient way to engineer complex and open systems. In such systems, agents have to be able to self-organize to satisfy their goals. Our w...
Sebastian Rodriguez, Nicolas Gaud, Vincent Hilaire...
IJCNN
2008
IEEE
15 years 4 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...