Results 1 to 10 of about 1,466,211 (327)

Evaluation of Goaf Stability Based on Transfer Learning Theory of Artificial Intelligence [PDF]

open access: goldIEEE Access, 2019
Current artificial intelligence models for evaluating goaf stability in underground metal mines need a large amount of sample data for training, and their accuracy declines with small sample size. With the aim of solving this problem, this paper proposes
Yaguang Qin   +4 more
semanticscholar   +6 more sources

Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach [PDF]

open access: greenIEEE Robotics and Automation Letters, 2021
This letter presents Learning-based Autonomous Guidance with RObustness and Stability guarantees (LAG-ROS), which provides machine learning-based nonlinear motion planners with formal robustness and stability guarantees, by designing a differential ...
Hiroyasu Tsukamoto, Soon‐Jo Chung
semanticscholar   +10 more sources

On Solutions and Stability of Stochastic Functional Equations Emerging in Psychological Theory of Learning [PDF]

open access: goldAxioms, 2022
We show how to apply the well-known fixed-point approach in the study of the existence, uniqueness, and stability of solutions to some particular types of functional equations. Moreover, we also obtain the Ulam stability result for them. The functional equations that we consider can be used to explain various experiments in mathematical psychology and ...
Ali Turab, Janusz Brzdȩk, Wajahat Ali
doaj   +4 more sources

Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview [PDF]

open access: bronzeAnnual Reviews in Control, 2021
Contraction theory is an analytical tool to study differential dynamics of a non-autonomous (i.e., time-varying) nonlinear system under a contraction metric defined with a uniformly positive definite matrix, the existence of which results in a necessary and sufficient characterization of incremental exponential stability of multiple solution ...
Hiroyasu Tsukamoto   +2 more
semanticscholar   +8 more sources

A Solution of a General Functional Equation Involved in Psychological Theory of Learning and Stability Results

open access: goldInternational Journal of Analysis and Applications, 2023
The psychological learning theory (PLT) in the formation of moral verdict is represented by the choice-practice paradigm. It involves weighing the effects of various options and choosing one to put into practice. This manuscript is devoted to presenting a general functional equation (FE) for observing animal behavior in such situations.
Doha A. Kattan, Hasanen A. Hammad
doaj   +5 more sources

Actor-Critic Reinforcement Learning for Control with Stability Guarantee [PDF]

open access: yesIEEE Robotics and Automation Letters, 2020
Reinforcement Learning (RL) and its integration with deep learning have achieved impressive performance in various robotic control tasks, ranging from motion planning and navigation to end-to-end visual manipulation.
Han, Minghao   +3 more
core   +3 more sources

Mental models vs cell schemes [PDF]

open access: yesInvestigações em Ensino de Ciências, 2002
Student's mental representations of cell are examined from the perspectives of Johnson-Laird's mental models theory five years after instruction. The observed identity and stability of such representations are then interpreted under the framework of ...
Marco Antonio Moreira   +1 more
core   +2 more sources

The effects of spatial stability and cue type on spatial learning: Implications for theories of parallel memory systems [PDF]

open access: greenCognition, 2021
Some theories of spatial learning predict that associative rules apply under only limited circumstances. For example, learning based on a boundary has been claimed to be immune to cue competition effects because boundary information is the basis for the formation of a cognitive map, whilst landmark learning does not involve cognitive mapping.
Matt Buckley   +6 more
  +9 more sources

Research on Power System Transient Stability Assessment Based on Statistical Learning Theory [PDF]

open access: goldProceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering, 2016
Wanyu Xu
openalex   +4 more sources

Existence, Uniqueness, and Stability Analysis of the Probabilistic Functional Equation Emerging in Mathematical Biology and the Theory of Learning [PDF]

open access: goldSymmetry, 2021
Probabilistic functional equations have been used to analyze various models in computational biology and learning theory. It is worth noting that they are linked to the symmetry of a system of functional equations’ transformation. Our objective is to propose a generic probabilistic functional equation that can cover most of the mathematical models ...
Ali Turab, Won-Gil Park, Wajahat Ali
openalex   +4 more sources

Home - About - Disclaimer - Privacy