AIC:阿卡克信息准则

“阿卡克信息准则”(Akaike Information Criterion,简称AIC)是一种常用的信息测度准则,主要用于模型选择和统计拟合优度评估。该概念由日本统计学家阿卡克弘次提出,因其名称较长,在学术写作和数学、统计学相关领域中常缩写为AIC,便于快速引用和表达。它通过权衡模型复杂度与拟合精度,帮助研究者从多个候选模型中选出最优解,在数据分析、机器学习及计量经济学等方向有广泛应用。

Akaike Information Criterion具体释义

  • 英文缩写:AIC
  • 英语全称:Akaike Information Criterion
  • 中文意思:阿卡克信息准则
  • 中文拼音:ā kǎ kè xìn xī zhǔn zé
  • 相关领域aic 数学

Akaike Information Criterion的英文发音

例句

  1. UAV communication channel estimation methods for OFDM system based on Akaike information criterion
  2. 基于Akaike信息论准则的无人机OFDM信道估计算法
  3. A modified Gerschgorin Akaike information criterion ( MGAIC ) method for source number detection is proposed based on Gerschgorin disk theorem.
  4. 本文在盖尔圆-信息论(GAIC)方法的基础上,提出了一种基于盖尔圆半径修正的目标数目判断方法。
  5. Then the model and conclusion of each method are compared by using Akaike information criterion to make a choice, a model selection criterion which focuses on model accuracy and complexity.
  6. 然后对各方法的结论进行了分析和比较,利用模型选择AkaikeInformationCriterion(AIC)判别准则,针对模型的精度和复杂度,做出了选择。
  7. In this paper, A new method based on the principle of the Akaike Information Criterion(AIC) ( AIC ) is given.
  8. 给出一种基于Akaike信息量准则(AIC)原理的参数估计方法。
  9. The results show that compared with the nondominated sorting genetic algorithm II and Akaike information criterion, the proposed method can get only one solution and at the same time it can get higher accuracy for identification of the system structure.
  10. 仿真结果显示,与非支配排序遗传算法NSGA-II(NondominatedSortingGeneticAlgorithm-II)和信息准则法(AkaikeInformationCriterion,AIC)相比,本文所提方法可得到唯一解,并具有较高的系统结构辨识正确率。