Results 1 to 10 of about 192,666 (197)

Affective state influences retrieval-induced forgetting for integrated knowledge. [PDF]

PLoS ONE, 2013
BACKGROUND: Selectively testing parts of learned materials can impair later memory for nontested materials. Research has shown that such retrieval-induced forgetting occurs for low-integrated materials but may be prevented for high-integrated materials ...
Christof Kuhbandner, Reinhard Pekrun
doaj   +8 more sources

Why Empirical Forgetting Curves Deviate from Actual Forgetting Rates: A Distribution Model of Forgetting [PDF]

Behavioral Sciences
For over a century, forgetting research has shown that recall decreases along a power or exponential function over time. It is tempting to assume that empirical forgetting curves are equivalent to the rate at which individual memories are forgotten. This
Nate Kornell, Robert A. Bjork
doaj   +2 more sources

Lithium-Ion Battery SOC Estimation Based on Adaptive Forgetting Factor Least Squares Online Identification and Unscented Kalman Filter

Mathematics, 2021
In order to improve the estimation accuracy of the battery state of charge (SOC) based on the equivalent circuit model, a lithium-ion battery SOC estimation method based on adaptive forgetting factor least squares and unscented Kalman filtering is ...
Hao Wang, Yanping Zheng, Yang Yu
doaj   +1 more source

Development of a Sliding-Mode-Control-Based Path-Tracking Algorithm with Model-Free Adaptive Feedback Action for Autonomous Vehicles

Sensors, 2022
This paper presents a sliding mode control (SMC)-based path-tracking algorithm for autonomous vehicles by considering model-free adaptive feedback actions. In autonomous vehicles, safe path tracking requires adaptive and robust control algorithms because
Kwangseok Oh, Jaho Seo
doaj   +1 more source

Modified EKF Algorithm Considering Aging to Estimate the SOC of Lithium-ion Battery

Journal of Harbin University of Science and Technology, 2022
The State of Charge (SOC) of lithium battery is one of the basic parameters of battery management system (BMS). The accurate estimation of SOC is the basis of BMS reliability and accuracy. In order to improve the estimation accuracy of SOC, an estimation
YU Zhi-long, LI Long-jun, WEI Kang
doaj   +1 more source

Parameter Estimation of Fractional Wiener Systems with the Application of Photovoltaic Cell Models

Mathematics, 2023
Fractional differential equations are used to construct mathematical models and can describe the characteristics of real systems. In this paper, the parameter estimation problem of a fractional Wiener system is studied by designing linear filters which ...
Ce Zhang, Xiangxiang Meng, Yan Ji
doaj   +1 more source

Formulation of the Alpha Sliding Innovation Filter: A Robust Linear Estimation Strategy

Sensors, 2022
In this paper, a new filter referred to as the alpha sliding innovation filter (ASIF) is presented. The sliding innovation filter (SIF) is a newly developed estimation strategy that uses innovation or measurement error as a switching hyperplane.
Mohammad AlShabi, Stephen Andrew Gadsden
doaj   +1 more source

Gas Turbine Model Identification Based on Online Sequential Regularization Extreme Learning Machine with a Forgetting Factor

Energies, 2022
Due to the advantages of high convergence accuracy, fast training speed, and good generalization performance, the extreme learning machine is widely used in model identification. However, a gas turbine is a complex nonlinear system, and its sampling data
Rui Yang, Yongbao Liu, Xing He, Zhimeng Liu   +3 more
doaj   +1 more source

More on interpretive factors in forgetting [PDF]

Memory & Cognition, 1977
Subjects learned a list of paired associates and reported the elaborators actually used during learning. They also generated "second-choice" elaborators. Both first- and second-choice elaborators were classified as stimulus-related or response-related and given to independent groups of new subjects to use in learning a list of pairs.
L, Hasher, M, Griffin, M K, Johnson
openaire   +2 more sources

Data-Driven Adaptive Steady-State-Integral-Derivative Controller Using Recursive Least Squares With Performance Conditions

IEEE Access, 2023
This paper presents a data-driven adaptive steady state-integral-derivative (SS-ID) control algorithm that uses gradient descent and recursive least squares (RLS) with a forgetting factor.
Jeongwoo Lee, Kwangseok Oh
doaj   +1 more source