Stochastic sensitivity analysis of stationary patterns in spatially extended systems
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.6892
Abstract: In this paper, a spatially extended stochastic reaction–diffusion model is studied. Due to Turing instability, stable nonhomogeneous stationary patterns are generated in such models. A theoretical approach to estimating the mean‐square deviation of random solutions… read more here.
Keywords: spatially extended; stationary patterns; stochastic sensitivity; analysis stationary ... See more keywords
Stochastic sensitivity technique in a persistence analysis of randomly forced population systems with multiple trophic levels.
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical biosciences"
DOI: 10.1016/j.mbs.2017.08.007
Abstract: Motivated by important ecological applications we study how noise can reduce a number of trophic levels in hierarchically related multidimensional population systems. A nonlinear model with three trophic levels under the influence of external stochastic… read more here.
Keywords: technique; population systems; stochastic sensitivity; trophic levels ... See more keywords
Method of stochastic sensitivity synthesis in a stabilisation problem for nonlinear discrete systems with incomplete information
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Control"
DOI: 10.1080/00207179.2016.1216608
Abstract: ABSTRACT A problem of the synthesis of the assigned probabilistic distribution near the equilibrium of stochastic nonlinear discrete-time system with incomplete state information is considered. We construct a static feedback regulator which provides a required… read more here.
Keywords: information; problem; nonlinear discrete; stochastic sensitivity ... See more keywords
BASS: Broad Network Based on Localized Stochastic Sensitivity.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184846
Abstract: The training of the standard broad learning system (BLS) concerns the optimization of its output weights via the minimization of both training mean square error (MSE) and a penalty term. However, it degrades the generalization… read more here.
Keywords: network; bass; localized stochastic; stochastic sensitivity ... See more keywords