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IEEEICCI
2003
IEEE
14 years 29 days ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
SAC
2003
ACM
14 years 28 days ago
Recognizing the Relations between Web Pages Using Artificial Neural Network
Semantic Web shows us the potential infrastructure of the next generation Web. Web information will be understandable to machines in this infrastructure. Our research work1 has th...
Xing Zhu, Shen Huang, Yong Yu
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
14 years 2 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
IJCNN
2007
IEEE
14 years 2 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
IJCNN
2006
IEEE
14 years 1 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...