The data mining model training destination trains data mining models by passing the data that the destination receives through the data mining model algorithms 数据挖掘模型定型目标将该目标接收到的数据通过数据挖掘模型算法传递,从而为数据挖掘模型定型。
The main contributions are as follows : 1 . interacting multiple model algorithm ( imm ) has been demonstrated to be the most cost - effective algorithm in hybrid estimation 对混合估计的应用背景和发展现状做了简要概述,着重介绍了混合估计的主流算法?交互式多模型算法( imm ) 。
In order to identify and predict the space distribution of fracture - sets and karst caves in carbonate layers , a seismic forward modeling algorithm and a prediction method are presented in this paper 摘要提出了有助于确定碳酸盐岩裂缝带和喀斯特溶洞系统空间分布的地震正演模拟和预测方法。
In this paper , based on the existing algorithms , i expound the corresponding well - modified modeling algorithm in terms of the modeled object and achieve the expected realization effects 在实际的模拟过程中,结合计算机图形学技术,在现有算法和技术的基础上,不断地改进,最后达到了预期的模拟效果。
In this paper , our personalized facial model algorithm is the automatic facial 3d reconstruction based on two orthogonal photos . excellence of this method lies in low cost as well as fast speed 本文所采用的人脸模型个性化算法是基于正交两幅图像的自动人脸三维重建,这种方法的优点是成本低,速度快。