From particle systems to learning processes Comment on 'Collective learning modeling based on the kinetic theory of active particles' by Diletta Burini, Silvana De Lillo, and Livio Gibelli

Lachowicz Miroslaw

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From particle systems to learning processes Comment on 'Collective learning modeling based on the kinetic theory of active particles' by Diletta Burini, Silvana De Lillo, and Livio Gibelli

机译：从粒子系统到学习过程Diletta Burini，Silvana De Lillo和Livio Gibelli评述了“基于活性粒子动力学理论的集体学习建模”

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《Physics of life reviews》 |2016年第null期|共2页
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Lachowicz Miroslaw;
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1. From particle systems to learning processes Comment on "Collective learning modeling based on the kinetic theory of active particles" by Diletta Burini, Silvana De Lillo, and Livio Gibelli [J] . Lachowicz Miroslaw Physics of life reviews . 2016,第Null期

机译：从粒子系统到学习过程Diletta Burini，Silvana De Lillo和Livio Gibelli评述了“基于活性粒子动力学理论的集体学习建模”
2. Learning and dynamics in social systems Comment on "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al. [J] . Dolfin Marina Physics of life reviews . 2016,第Null期

机译：社会系统中的学习和动力学评论D. Burini等人的“基于活性粒子动力学理论的集体学习建模”。
3. Learning dynamics for systems with space structure Comment on the paper "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al. [J] . Chouhad Nadia Physics of life reviews . 2016,第Null期

机译：具有空间结构的系统的学习动力学评论了D. Burini等人的论文“基于活性粒子动力学理论的集体学习建模”。
4. COMPARISON OF CONTINUUM MODELS USING THE KINETIC THEORY OF GRANULAR FLOW WITH DISCRETE PARTICLE MODELS AND EXPERIMENTS: EXTENT OF PARTICLE MIXING INDUCED BY BUBBLES [C] . G.A. Bokkers, M. Van Sint Annaland, J.A.M. Kuipers International Conference on Fluidization . 2004

机译：使用离散粒子模型的粒状模型动力学模型的比较及实验：气泡诱导的粒子混合程度
5. Multiple Particle Types for Modeling Particle - Associated Contaminant Transport: Towards a Particle Based Transport Model for Hydrophobic Organic Chemicals in Aquatic Systems. [D] . Hu, Sheng. 2011

机译：用于建模与粒子相关的污染物迁移的多种粒子类型：建立基于粒子的水生系统中疏水性有机化学品的迁移模型。
6. Modeling design and machine learning-based framework for optimal injectability of microparticle-based drug formulations [O] . Morteza Sarmadi, Adam M. Behrens, Kevin J. McHugh, 2020

机译：基于微粒药物制剂的最佳可注射性的基于模拟设计和机器学习框架
7. From the discrete kinetic theory to modelling open systems of active particles [O] . Brazzoli I. 2008

机译：从离散动力学理论到建模活性粒子的开放系统

From particle systems to learning processes Comment on 'Collective learning modeling based on the kinetic theory of active particles' by Diletta Burini, Silvana De Lillo, and Livio Gibelli

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