Multi-subgroup Particle Swarm Optimization Algorithm with Game Probability Selection [PDF]
Jisuanji kexue, 2021 Aimed at solving the defects of premature and easy being trapped into the local optimum of particle swarm optimization (PSO),a new algorithm is proposed with considering the species group structure,multi-mode learning and individual game,which was named ...
TIAN Meng-dan, LIANG Xiao-lei, FU Xiu-wen, SUN Yuan, LI Zhang-hong
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The Impact of a Construction Play on 5- to 6-Year-Old Children’s Reasoning About Stability
Frontiers in Psychology, 2020 TheoryYoung children have an understanding of basic science concepts such as stability, yet their theoretical assumptions are often not concerned with stability.
Anke Maria Weber +2 more
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Probability Based Stochastic Iterative Learning Control for Batch Processes With Actuator Faults
IEEE Access, 2019 This paper proposes a new stochastic composite iterative learning control for batch processes with actuator faults that happen with a certain kind of probability.
Limin Wang, Bingyun Li
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Dynamic ILC for Linear Repetitive Processes Based on Different Relative Degrees
Mathematics, 2022 The current research on iterative learning control focuses on the condition where the system relative degree is equal to 1, while the condition where the system relative degree is equal to 0 or greater than 1 is not considered.
Lei Wang +3 more
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Stability theory of game-theoretic group feature explanations for machine learning models
, 2021 82 pages, 43 figures. Typos fixed.
Miroshnikov, Alexey +3 more
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Discovery of 2D Materials using Transformer Network‐Based Generative Design
Advanced Intelligent Systems, 2023 Two‐dimensional (2D) materials offer great potential in various fields like superconductivity, quantum systems, and topological materials. However, designing them systematically remains challenging due to the limited pool of fewer than 100 experimentally
Rongzhi Dong +3 more
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BACKPROPAGATION TRAINING ALGORITHM WITH ADAPTIVE PARAMETERS TO SOLVE DIGITAL PROBLEMS [PDF]
ICTACT Journal on Soft Computing, 2011 An efficient technique namely Backpropagation training with adaptive parameters using Lyapunov Stability Theory for training single hidden layer feed forward network is proposed.
R. Saraswathi
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Evolving stochastic learning algorithm based on Tsallis entropic index [PDF]
, 2005 In this paper, inspired from our previous algorithm, which was based on the theory of Tsallis statistical mechanics, we develop a new evolving stochastic learning algorithm for neural networks.
Anastasiadis, A.D., Magoulas, George D.
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Identifying an efficient, thermally robust inorganic phosphor host via machine learning
Nature Communications, 2018 Identifying phosphors with good thermal stability and quantum efficiency is a prerequisite to improve the performance of white LED light sources. Here, a combined machine learning and density functional theory method is introduced to identify next ...
Ya Zhuo +4 more
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Actor-Critic Reinforcement Learning for Control with Stability Guarantee
, 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
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