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Updated: Jan 6, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
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在科尔莫戈罗夫平面中通过相对复杂度变化和相互作用的复杂度幅度探索整体和组件复杂性:美国河流的案例研究

Dragutin T Mihailović1, Slavica Malinović-Milićević2,3

  • 1Faculty of Natural Sciences, Department of Physics, University of Novi Sad, 21000 Novi Sad, Serbia.

Entropy (Basel, Switzerland)
|October 28, 2025
PubMed
概括

研究人员使用科尔摩戈罗夫复杂度 (KC) 度量测量了河流系统的复杂性. 这项分析揭示了美国河流流,温度,降水和动态的模式,为水文复杂性提供了新的见解.

关键词:
科尔摩戈罗夫复杂度 (KC) 是一个复杂度.科尔摩戈罗夫复杂度平面 (KC平面)科尔摩戈罗夫复杂性频谱 (KC频谱)美国的河流.RCC 的基因组图.复杂性的相对变化 (RCC)流程流程的复杂性 流程的复杂性

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