Thermodynamic Efficiency of Interactions in Self-Organizing Systems
نویسندگان
چکیده
The emergence of global order in complex systems with locally interacting components is most striking at criticality, where small changes control parameters result a sudden reorganization. We study the thermodynamic efficiency interactions self-organizing systems, which quantifies change system’s per unit work carried out on (or extracted from) system. analytically derive for case quasi-static variations exactly solvable Curie–Weiss (fully connected) Ising model, and demonstrate that this quantity diverges critical point second-order phase transition. This divergence shown perturbations both parameters—the external field coupling strength. Our analysis formalizes an intuitive understanding across diverse dynamics physical, biological, social domains.
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شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...
Self-Organizing Systems
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ژورنال
عنوان ژورنال: Entropy
سال: 2021
ISSN: ['1099-4300']
DOI: https://doi.org/10.3390/e23060757