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RadarTools
Programs developed during Radar Course
- 2009-05-13 18:55:22下载
- 积分：1
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pso9
说明： pso源码，对初学者很有用。给大家参考下。谢谢！(pso source code, useful for beginners. Under your reference. Thank you!)
- 2011-04-14 20:17:26下载
- 积分：1
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CNG
一个dbgirdeh实例，控制单元格宽度，动态添加字段，添加记录，出门登记完整实例(A dbgirdeh instance, the control cell width, dynamically add fields, add records)
- 2014-08-22 22:32:48下载
- 积分：1
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hai
随着城市经济的快速发展和城市人口的不断增加，人类活动对城市环境质量的影响日显突出。(With the city' s rapid economic development and urban population increases, human activities on urban environmental quality more evident.)
- 2011-09-10 22:57:27下载
- 积分：1
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59564326dhl
单相电弧炉，简单易懂 可以直接2016b打开(Single-phase arc furnace, simple and easy to understand, can be opened directly in 2016b)
- 2019-05-10 16:40:20下载
- 积分：1
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PCLDSP
对稠密点云或者Mesh模型进行降采样，以获得更加具有代表性的模型来减少点的数量和面的个数。(The dense point cloud or Mesh model is sampled down to obtain a more representative model to reduce the number of points and the number of faces.)
- 2017-06-27 16:13:07下载
- 积分：1
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ecef+sins
代码1用于将位置经纬高信息转换为地心地固坐标系下xyz信息；代码2是捷联惯导算法代码，用于将加速度计和陀螺仪输出的信息进行解算得到位置、速度和姿态信息。(Code 1 is used to convert the location of warp and weft information into XYZ information in a geocentric coordinate system; code 2 is a strapdown inertial navigation algorithm code, which is used to compute the information of accelerometers and gyroscopes to get position, speed and attitude information.)
- 2018-04-04 11:26:05下载
- 积分：1
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Relevance-Vector-Machine
说明： 相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分：1
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matlab-main-component-analysis
matlab主成分分析，含完整主成分分析方法以及matlab源代码(matlab principal component analysis, including principal component analysis and the complete source code matlab)
- 2015-03-24 11:27:00下载
- 积分：1
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finalM
2维晶格高分子Monte Carlo动态模拟(Monte Carlo Simulation of 2D Lattice Polymerization)
- 2012-04-18 23:42:24下载
- 积分：1
