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TNN
2010
234views Management» more  TNN 2010»
13 years 1 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
IJCSA
2007
99views more  IJCSA 2007»
13 years 7 months ago
Wing Pattern-Based Classification of the Rhagoletis pomonella Species Complex Using Genetic Neural Networks
The Rhagoletis pomonella species complex consists of at least four sibling species. They are highly host specific as larvae, and display great fidelity as adults. The only certain...
Chengpeng Bi, Michael C. Saunders, Bruce A. McPher...
NIPS
2007
13 years 8 months ago
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, ...
CONIELECOMP
2006
IEEE
14 years 1 months ago
Chaotic Time Series Approximation Using Iterative Wavelet-Networks
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
E. S. Garcia-Trevino, Vicente Alarcón Aquin...
EUSFLAT
2003
110views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
Neuro-finite element static analysis of structures by assembling elemental neuro-modelers
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...
Abdolreza Joghataie