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ICPR
2010
IEEE
13 years 2 months ago
A Simulation Study on the Generative Neural Ensemble Decoding Algorithms
Brain-computer interfaces rely on accurate decoding of cortical activity to understand intended action. Algorithms for neural decoding can be broadly categorized into two groups: d...
Sung-Phil Kim, Min-Ki Kim, Gwi-Tae Park
LSMS
2007
Springer
13 years 10 months ago
A Simulation Study on the Encoding Mechanism of Retinal Ganglion Cell
Understanding how the retina encodes visual information is a key issue for the development of a retinal prosthesis. To study this issue, the neural retina is modeled as a retina mo...
Chao-Feng Cai, Pei-Ji Liang, Pu-Ming Zhang
ESWA
2008
223views more  ESWA 2008»
13 years 4 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
AI
2002
Springer
13 years 4 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
13 years 10 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando