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ESANN
2003
15 years 7 months ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
ICANN
2010
Springer
15 years 6 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
CHI
2005
ACM
16 years 6 months ago
NEmESys: neural emotion eliciting system
This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on ...
Manfred Eckschlager, Regina Bernhaupt, Manfred Tsc...
ENGL
2007
109views more  ENGL 2007»
15 years 6 months ago
Using Neural Network for DJIA Stock Selection
—This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the ...
Tong-Seng Quah
COMPLEX
2009
Springer
15 years 10 months ago
A Comparative Analysis of Specific Spatial Network Topological Models
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
Jun Wang, Gregory M. Provan