Results 11 to 20 of about 1,466,211 (327)

On the stability of two functional equations arising in mathematical biology and theory of learning [PDF]

open access: bronzeCreative Mathematics and Informatics, 2019
Aynur Şahin   +2 more
openalex   +2 more sources

Stability Theory of Universal Learning Network

open access: bronzeIEEJ Transactions on Electronics, Information and Systems, 1996
Kotaro Hirasawa   +2 more
openalex   +4 more sources

A Comprehensive Survey of Continual Learning: Theory, Method and Application [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
To cope with real-world dynamics, an intelligent system needs to incrementally acquire, update, accumulate, and exploit knowledge throughout its lifetime.
Liyuan Wang   +3 more
semanticscholar   +1 more source

Learning Theory for Dynamical Systems [PDF]

open access: yesSIAM Journal on Applied Dynamical Systems, 2022
The task of modelling and forecasting a dynamical system is one of the oldest problems, and it remains challenging. Broadly, this task has two subtasks - extracting the full dynamical information from a partial observation; and then explicitly learning ...
Tyrus Berry, Suddhasattwa Das
semanticscholar   +1 more source

Using SHAP Values and Machine Learning to Understand Trends in the Transient Stability Limit [PDF]

open access: yesIEEE Transactions on Power Systems, 2023
Machine learning (ML) for transient stability assessment has gained traction due to the significant increase in computational requirements as renewables connect to power systems.
Robert I. Hamilton, P. Papadopoulos
semanticscholar   +1 more source

Iterative Learning Control Design for Stability and Transient Performance Using Differential Linear Repetitive Process Stability Theory

open access: bronzeIFAC Proceedings Volumes, 2013
Abstract Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to ...
Wojciech Paszke   +2 more
openalex   +3 more sources

Li$_x$CoO$_2$ phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories

open access: green, 2021
Li$_xTM$O$_2$ (TM={Ni, Co, Mn}) are promising cathodes for Li-ion batteries, whose electrochemical cycling performance is strongly governed by crystal structure and phase stability as a function of Li content at the atomistic scale. Here, we use Li$_x$CoO$_2$ (LCO) as a model system to benchmark a scale-bridging framework that combines density ...
Gregory H. Teichert   +5 more
openalex   +4 more sources

Aligning Theories with Conflict Management in Higher Institutions of Learning: Averting Looming Crises to Ensure Success and Stability

open access: goldInternational Journal of Higher Education, 2022
Higher institutions of learning (HIL) occasionally face conflict situations. These range from minor confrontations and demonstrations to violent strikes. The aim of this study was to align theories with conflict management in HIL to avert looming crises that might affect the core businesses of HIL. Given that conflicts are miscellaneous and disputable,
Yusuf Lukman   +2 more
openalex   +3 more sources

A combined machine learning and density functional theory study of binary Ti-Nb and Ti-Zr alloys: Stability and Young’s modulus

open access: bronzeComputational Materials Science, 2020
Abstract The multicomponent Ti alloys, specifically the β -phase, have experienced a strong growth over the last decades, due to their outstanding properties of ultra-high strength and low Young’s modulus. These properties play a significant role in many aerospace and biomedical applications.
Sangqi Xiong   +7 more
openalex   +4 more sources

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