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» Neural methods for dynamic branch prediction
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NIPS
2004
15 years 1 months ago
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular fa...
Wolfgang Maass, Robert A. Legenstein, Nils Bertsch...
ICTAI
2005
IEEE
15 years 5 months ago
Motion Prediction in a High-Speed, Dynamic Environment
The immanent existence of system latency greatly affects the control behavior of a closed-loop system. In order to reduce the influence induced by latency, this paper proposes a ...
Yu Sheng, Yonghai Wu
ICONIP
2008
15 years 1 months ago
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony
Abstract. A method is proposed to determine the similarity of a collection of time series. As a first step, one extracts events from the time series, in other words, one converts e...
Justin Dauwels, François B. Vialatte, Theop...
BMCBI
2008
137views more  BMCBI 2008»
14 years 11 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
119
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JDCTA
2010
155views more  JDCTA 2010»
14 years 6 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao