2,704 research outputs found
RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement
Extreme learning machine (ELM) as an emerging branch of shallow networks has
shown its excellent generalization and fast learning speed. However, for
blended data, the robustness of ELM is weak because its weights and biases of
hidden nodes are set randomly. Moreover, the noisy data exert a negative
effect. To solve this problem, a new framework called RMSE-ELM is proposed in
this paper. It is a two-layer recursive model. In the first layer, the
framework trains lots of ELMs in different groups concurrently, then employs
selective ensemble to pick out an optimal set of ELMs in each group, which can
be merged into a large group of ELMs called candidate pool. In the second
layer, selective ensemble is recursively used on candidate pool to acquire the
final ensemble. In the experiments, we apply UCI blended datasets to confirm
the robustness of our new approach in two key aspects (mean square error and
standard deviation). The space complexity of our method is increased to some
degree, but the results have shown that RMSE-ELM significantly improves
robustness with slightly computational time compared with representative
methods (ELM, OP-ELM, GASEN-ELM, GASEN-BP and E-GASEN). It becomes a potential
framework to solve robustness issue of ELM for high-dimensional blended data in
the future.Comment: Accepted for publication in Mathematical Problems in Engineering,
09/22/201
Mixing of 1/2^- Octets under SU(3) Symmetry
We investigate the J^p=1/2^- baryons in the octets based on flavor SU(3)
symmetry. Since baryons with same quantum numbers can mix with each other, we
consider the mixing between two octets before their mixing with the singlet.
Most predicted decay widths are consistent with the experimental data, and
meanwhile we predict two possible mass ranges of the two octets.Comment: 8 latex page
A New Method to Calculate Electromagnetic Impedance Matching Degree in One-Layer Microwave Absorbers
A delta-function method was proposed to quantitatively evaluate the
electromagnetic impedance matching degree. Measured electromagnetic parameters
of {\alpha}-Fe/Fe3B/Y2O3 nanocomposites are applied to calculate the matching
degree by the method. Compared with reflection loss and quarter-wave principle
theory, the method accurately reveals the intrinsic mechanism of microwave
transmission and reflection properties. A possible honeycomb structure with
promising high-performance microwave absorption according to the method is also
proposed.Comment: 13 pages, 3 figure
- …