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AP is calculated using difference-average accuracy (DAA), the area under the accuracy-recall curve. Accuracy and recall are calculated using the formulas in Eqs. (1), (2):(1)Precision=TPTP+FP(2)Recall=TPTP+FNWhere T/F is true/false, indicating whether the prediction is correct or not,...
sustainability Article Estimation of Distribution Algorithm for Energy-Efficient Scheduling in Turning Processes Fang Wang 1,2, Yunqing Rao 1,*, Chaoyong Zhang 1, Qiuhua Tang 3 and Liping Zhang 3 1 State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and...
A simulation and application for the pushing distance estimation proves the effectiveness and superiority of the proposed method. The rest of this paper is organized as follows: In Section 2, preliminaries of Kalman filter and basic FOA are presented. In Section 3, the framework of proposed ...
res = obj.binaryTreePaths_II(root); for (auto str : res) diff --git a/Binary-tree/404/404.cpp b/Binary-tree/404/404.cpp index b5b470a..d9a68df 100644 --- a/Binary-tree/404/404.cpp +++ b/Binary-tree/404/404.cpp @@ -30,17 +30,21 @@ class Solution } // 迭代法:...
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Genetic algorithm is a numerical search tool which operates according to procedures that resemble the principles of natural selection and genetics. Previous studies took advantage of the genetic algorithm coupled with ANN (ANN-GA) to generate the global optimum operating variables for the studied ...
As for the object detection algorithm, it can be divided into anchor-based algorithm and anchor-free algorithm according to the setting of anchor frame or not. The anchor- based method needs to pre-set a certain number of anchors at each position in the feature map of the image, and then...
The maxP technique restricts the search space in a more simple way, by only limiting the maximum number of parents for each node without a heuristic estimation step. Nevertheless, the two methods ignore the biological fact and suffer from the problem of tuning parameter. The fact that they ...
In those scenarios, the uncertainty integration method (UIM) identifies the best combination by minimizing the additional reserve requirements caused by the uncertainty of power sources. An integration process for uncertainties is formulated for stochastic unit commitment (SUC) problems and optimized by ...