Search - Gravity

Search - Gravity - List

[AI-NN-PR] COMPUTEG DL : 1: computes the gravitational acceleration vector at a specified ％ ECF location using the JGM2 gravitational ellipsoid only. ％ Higher-order gravity terms (the "gravity anomaly") are ％ ingnored. Only the pure ellipsoid is used. -computes the gravitational acceleration vector at a specified ECF location using the JGM2 gravitational ellipsoid only. Higher-order gravity terms (the gravity anomaly ) are ingnored. Only the pure ellipsoid is used.
Date : 2026-01-09 Size : 4kb User : huguangfeng
[AI-NN-PR] K-meansNB DL : 0: ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与个簇重心之间的相似度，把记录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will be introduced to the Naive Bayesian Classifier study, a K-means based on the Naive Bayesian classification algorithm. First of all, with K-me. arks algorithm focus on the raw data of the complete data subset of the cluster, the calculation of missing data for each subset of records and the similarity between the cluster center of gravity to the nearest record assigned to a cluster, and the corresponding attributes of the cluster means to fill the missing value record, and then use Naive Bayes classification algorithm to deal with the data set after classification. The experimental results show that compared with the Naive Bayes, K-means based on the thinking of Naive Bayes algorithm has higher classification accuracy.
Date : 2026-01-09 Size : 169kb User : 李浩
[AI-NN-PR] chap2_2ctrl DL : 0: 在忽略重力和外加干扰时，采用独立的PD控制，能满足机器人定点控制的要求。-Ignoring gravity and external interference, the use of an independent PD control, to meet the requirements of the robot position control.
Date : 2026-01-09 Size : 1kb User : 王妹婷
[AI-NN-PR] fuzzy_CRUOSE_CONTROL DL : 0: 利用模糊控制做巡航速度控制利用e, dot_e，當作兩個輸入，取交集在對輸出值u做砍頭的動作，再用重心法求解，再用Runge-Kutta做疊代更改增益值將會得到不一樣的結果。-Using fuzzy control to do cruise speed control using e, dot_e, as the two inputs, the output value of taking the intersection of the decapitation of the movement u do, then the center of gravity method, Runge-Kutta and then make iterative changes to the gain value will be get different results.
Date : 2026-01-09 Size : 2kb User : POPE0910
[AI-NN-PR] fuzzy_control_inverted_pendulum DL : 0: 利用fuzzy做倒單擺!!利用e, dot_e，當作兩個輸入，取交集在對輸出值u做砍頭的動作，現做出控制器看輸出有無正確，再用重心法求解，再用Runge-Kutta做疊代更改增益值將會得到不一樣的結果。-Inverted pendulum using fuzzy do!! Use of e, dot_e, as the two inputs, the output value of taking the intersection of the decapitation of the movement u do, is to make the controller to see whether the output is correct, then the center of gravity method, and then Runge-Kutta iterative changes do gain value will be different results.
Date : 2026-01-09 Size : 2kb User : POPE0910
[AI-NN-PR] Gravitational_Search_algorithm DL : 0: 一种新的万有引力智能算法，有给力，可以参考参考！-A new intelligent algorithm of gravity, there is a force, can refer to reference!
Date : 2026-01-09 Size : 10kb User : 张瑜
[AI-NN-PR] kmeans DL : 0: 　k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means algorithm takes parameters k and then advance the input data object is divided into n-k-clustering in order to make the clustering obtained to meet: the object of the same cluster in the high similarity and objects in different cluster little similarity. Cluster similarity is the use of objects in each cluster obtained by means of a " central object" (center of gravity) to be calculated.
Date : 2026-01-09 Size : 553kb User : zhangmuhua
[AI-NN-PR] pos-study- DL : 0: ：将研究区域划分成许多具有固定长、宽、高且密度均匀的长方体，利用重力的可叠加性，计算了观测点重力异常，在此基础上形成重力异常的目标函数。把长方体的密度作为参数，采用蚁群算法进行密度反演试验。结果表明该方法具有一定的科学性和实用性。-: The study area is divided into a number with a fixed length, width, height and density, uniform rectangular, stackable nature of gravity, gravity anomaly calculated observation points, in the form of gravity anomalies on the basis of the objective function. The rectangular density as a parameter, using the ant colony algorithm for density inversion test. The results show that the method has some scientific and practical.
Date : 2026-01-09 Size : 203kb User : liufang
[AI-NN-PR] garivity DL : 0: 计算椭球上和椭球外的正常重力值精度比较高-calculate the normal gravity on or outside the ellipsoid
Date : 2026-01-09 Size : 4kb User : 岳飞
[AI-NN-PR] connect4 DL : 1: Connect4，重力四子棋的核心代码部分，UCT算法实现，跟100的AI打有6成胜的把握-Connect4, gravity four sons chess, UCT algorithm implemented with 100 AI playing 6 into wins grasp
Date : 2026-01-09 Size : 6kb User : 范德萨
[AI-NN-PR] k12 DL : 0: k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-K- means algorithm accept input k Then could be divided into k n data object clustering in order to make the clustering obtained satisfy: clustering objects in the same similarity is higher Unlike smaller clustering objects in the similarity. Cluster similarity is the use of the cluster of objects in the average obtained a "central object" (center of gravity) to calculated.
Date : 2026-01-09 Size : 762kb User : 霍书侠
[AI-NN-PR] Strategy.tar DL : 0: 重力四子棋程序，通过人工智能中的alpha-beta剪枝实现，AI的实力至少高于一般人的水平，人比较难下赢。通过调用getPoint函数获得下一个落子点的坐标-Gravity four chess program, through the realization of artificial intelligence in the alpha-beta pruning, the strength of AI at least a greater than average level, people is difficult to win. To obtain the coordinates of the next landing points by calling the getPoint functio
Date : 2026-01-09 Size : 6kb User : terran
[AI-NN-PR] Accurate-of-line-structured-light DL : 0: 本文提出了基于光条纹图像方向与重心法相结合的方法，首先手阈值法获取条纹中心初值，然后，通过光条纹图像的灰度梯度计算条纹法线方向，最后，在法线方向用重心法提取光条纹重心。对线结构光中心提取非常有帮助。-This paper presents method based on the combination of light stripe image with center of gravity method, first of all hand threshold method get the initial center of stripe, then through the gray gradient of light stripe image calculation to the normal direction of the stripe. Finally, in a direction normal to the gravity method is used to extract light stripe center of gravity. Line structured light center extraction is very helpful.
Date : 2026-01-09 Size : 601kb User : yj2077mqj
[AI-NN-PR] PSOGSA DL : 0: 粒子群与重力搜索算法的结合，，效果非常好-Particle group and gravity search algorithm combination, the effect is very good
Date : 2026-01-09 Size : 149kb User : 李海东