A new heuristic density-based ant colony clustering algorithm (HDACC) is presented.
提出一种基于密度的启发性群体智能聚类算法。
The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS.
提出了一种基于方向相似性度量的蚁群聚类算法。
The prediction results show that the method based on ant colony clustering algorithm for estimating fetal weight has certain feasibility.
此预测结果表明,蚁群聚类算法预测胎儿体重的方法具有一定的可行性。
Aiming to the complexity and uncertainty of oil-bearing of reservoir recognition, this paper proposes an improved ant colony clustering algorithm.
针对储层含油性识别过程的复杂性和不确定性,提出一种改进的蚁群聚类算法。
This system used an improved ant colony clustering algorithm to get hand center quickly, established relevant rendering system, and registered the virtual object.
利用一种改进的快速蚁群聚类算法来获取掌形的中心,建立相关的渲染坐标系,从而精确注册虚拟物体。
According to analysis of the data of rock burst samples and from the engineering analogy thinking by the ant colony clustering algorithm, the rock burst can be predicted.
该方法在分析岩爆实例资料的基础上,采用蚁群聚类算法,以工程类比的思想判断岩爆的发生状态。
According to analysis of the data of rock burst samples and from the engineering analogy thinking by the ant colony clustering algorithm, the rock burst can be predicted.
该方法在分析岩爆实例资料的基础上,采用蚁群聚类算法,以工程类比的思想判断岩爆的发生状态。
应用推荐