Smoothed Podgórski Strength Criterion

On the Smoothed Minimum Error Entropy Criterion

Recent studies suggest that the minimum error entropy (MEE) criterion can outperform the traditional mean square error criterion in supervised machine learning, especially in nonlinear and non-Gaussian situations. In practice, however, one has to estimate the error entropy from the samples since in general the analytical evaluation of error entropy is not possible. By the Parzen windowing appro...

Smoothed least mean p-power error criterion for adaptive filtering

1. Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China 2. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510640, China 3. School of Automation & Information Engineering, Xi'an University of Technology, Xi'an 710048, China 4. Department of Electrical and Computer Engineering, University of Florida,...

The Strength of the SCT Criterion

We undertake the study of size-change analysis in the context of Reverse Mathematics. In particular, we prove that the SCT criterion [9, Theorem 4] is equivalent to IΣ 2 over RCA0.

A universal fracture criterion for high-strength materials

Adaptive smoothed particle hydrodynamics for high strain hydrodynamics with material strength

This paper presents the implementation of an adaptive smoothed particle hydrodynamics (ASPH) method for high strain Lagrangian hydrodynamics with material strength. In ASPH, the isotropic kernel in the standard SPH is replaced with an anisotropic kernel whose axes evolve automatically to follow the mean particle spacing as it varies in time, space, and direction around each particle. Except for...