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» Petri nets design based on neural networks
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134
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NIPS
2001
15 years 3 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
BPM
2003
Springer
92views Business» more  BPM 2003»
15 years 5 months ago
Query Nets: Interacting Workflow Modules That Ensure Global Termination
Abstract. We address cross-organizational workflows, such as document workflows, which consist of multiple workflow modules each of which can interact with others by sending and re...
Rob J. van Glabbeek, David G. Stork
137
Voted
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 7 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
147
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JUCS
2007
208views more  JUCS 2007»
15 years 1 months ago
The Architecture and Circuital Implementation Scheme of a New Cell Neural Network for Analog Signal Processing
: It is a difficult problem that using cellular neural network to make up of analog signal processing circuit. This paper presented the architecture of new cellular neural network ...
Youren Wang, Zhiqiang Zhang, Jiang Cui
ICTAI
2008
IEEE
15 years 8 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause