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ICDAR
1999
IEEE
15 years 11 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
IJON
2007
184views more  IJON 2007»
15 years 6 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
JCNS
2007
89views more  JCNS 2007»
15 years 6 months ago
Synchronous and asynchronous bursting states: role of intrinsic neural dynamics
Brain signals such as local field potentials often display gamma-band oscillations (30–70 Hz) in a variety of cognitive tasks. These oscillatory activities possibly reflect sy...
Takashi Takekawa, Toshio Aoyagi, Tomoki Fukai
CEC
2008
IEEE
16 years 1 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
169
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IWCMC
2006
ACM
16 years 21 days ago
Neural fuzzy call admission and rate controller for WCDMA cellular systems providing multirate services
The paper proposes a neural fuzzy call admission and rate controller (NFARC) scheme for WCDMA cellular systems providing multirate services. The NFARC scheme can guarantee the qua...
Chung-Ju Chang, Li-Chung Kuo, Yih-Shen Chen, Scott...