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» A Step Forward in Studying the Compact Genetic Algorithm
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ESANN
2006
13 years 10 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
EVOW
2005
Springer
14 years 2 months ago
Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy
This paper reports on steps that have been taken to enhance previously presented evolutionary sound matching work. In doing so, the convergence characteristics are shown to provide...
Thomas J. Mitchell, Anthony G. Pipe
IJCNN
2006
IEEE
14 years 2 months ago
Common Subset Selection of Inputs in Multiresponse Regression
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
Timo Similä, Jarkko Tikka
DATE
2010
IEEE
164views Hardware» more  DATE 2010»
14 years 1 months ago
On passivity of the super node algorithm for EM modeling of interconnect systems
—The super node algorithm performs model order reduction based on physical principles. Although the algorithm provides us with compact models, its passivity has not thoroughly be...
Maria V. Ugryumova, Wil H. A. Schilders
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 9 months ago
Adaptive discretization on multidimensional continuous search spaces
This paper extends an adaptive discretization method, Spliton-Demand (SoD), to be capable of handling multidimensional continuous search spaces. The proposed extension is called m...
Jiun-Jiue Liou, Ying-Ping Chen