Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
, 2021 In lifelong learning systems, especially those based on artificial neural networks, one of the biggest obstacles is the severe inability to retain old knowledge as new information is encountered. This phenomenon is known as catastrophic forgetting.
Giles, C. Lee +3 more
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P-Type Learning Control Using a Forgetting Factor
Transactions of the Institute of Systems, Control and Information Engineers, 1992 ロボットマニピュレータのような機械系の運動制御則として, 速度信号の微分を必要としない, 忘却因子と長期記憶を利用した速度型学習制御則を提案する.そして.初期化誤差およびダイナミクスのゆらぎが存在する場合について, 提案した学習制御則のロバスト性について考察する.制御則のロバスト性と学習の収束性の本質を示すために, 線形時不変メカニカルシステムの上で議論を行うが, 時変系への拡張も可能であることを指摘する.
Tomohide NANIWA, Suguru ARIMOTO
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A Novel Method for Online Extraction of Small-Angle Scattering Pulse Signals from Particles Based on Variable Forgetting Factor RLS Algorithm. [PDF]
Sensors (Basel), 2021 Zhang R, Zhao H.
europepmc +1 more source
On the AER Convolution Processors for FPGA [PDF]
, 2010 Image convolution operations in digital computer systems are usually very expensive operations in terms of resource consumption (processor resources and processing time) for an efficient Real-Time application.
Civit Balcells, Antón +6 more
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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
, 2018 This paper presents a method for adding multiple tasks to a single deep neural network while avoiding catastrophic forgetting. Inspired by network pruning techniques, we exploit redundancies in large deep networks to free up parameters that can then be ...
Lazebnik, Svetlana, Mallya, Arun
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Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic. [PDF]
Resour Policy, 2021 Weng F, Zhang H, Yang C.
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Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting [PDF]
, 2018 We introduce the Kronecker factored online Laplace approximation for overcoming catastrophic forgetting in neural networks. The method is grounded in a Bayesian online learning framework, where we recursively approximate the posterior after every task ...
Barber, David +2 more
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An Adaptive Control Strategy with Switching Gain and Forgetting Factor for a Robotic Arm Manipulator
MachinesThis paper presents an adaptive sliding mode controller (ASMC) with the implication of a forgetting factor for a two-degree-of-freedom (2-DOF) arm robot manipulator trajectory tracking. The proposed approach builds upon conventional sliding mode control (
Mohammed Yousri Silaa +3 more
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International Islamic University Malaysia Engineering Journal, 2016 In this paper, a hybrid configuration algorithm called stochastic gradient method with variable forgetting factor (SGVFF) is proposed to better estimate unknown parameters in a power system such as amplitude and phase of harmonics using variable ...
Ahmad Mohammadzadeh +2 more
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Drug Design: Do Not Forget the Supramolecular Factor
BiochemistryA major challenge currently facing medicinal chemists is designing agents that can selectively destroy drug resistant fungi and bacteria that have begun to emerge. One factor that has been overlooked by virtually all drug discovery/development approaches is the supramolecular factor, in which aggregated forms of a drug candidate exhibit low selectivity
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