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[人工智能/神经网络/遗传算法HW1GA

说明:genetic algorithm for a basis function: benchmark functions
<panaah> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[人工智能/神经网络/遗传算法task1

说明:pso algoritm for a benchmark function. it works very good
<panaah> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[人工智能/神经网络/遗传算法psohw1

说明:pso for a nice question
<panaah> 在 2024-11-13 上传 | 大小:2kb | 下载:0

[人工智能/神经网络/遗传算法psohw2

说明:pso for a shopper question
<panaah> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[matlab例程hw1

说明:plotting pattern for antenna
<panaah> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[matlab例程calcMeshNormals

说明:Calculates normals of a mesh. A mesh is without normals if it is constructed using pointCloud2rawMesh.m or is read from a ply or vrml file.
<M> 在 2024-11-13 上传 | 大小:2kb | 下载:0

[matlab例程icp2

说明:ICP version 2. Removes one to many correspondences.
<M> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[matlab例程makePly

说明:Writes a mesh to a ply file (text format) wich can be read by PlyView from Cyberware and Scanalyze from Stanford University. Both are available for fr-Writes a mesh to a ply file (text format) wich can be read by PlyView
<M> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[matlab例程readPLYfile

说明:Reads a ply file (text format). ply files can be in binary format as well this function can read ply files in txt format only e.g. created by makePly.m.-Reads a ply file (text format). ply files can be in binary format a
<M> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[matlab例程pointCloud2rawMesh

说明:Same as pointCloud2mesh.m but this one only outputs a mesh. Normals and neighbors of vertices and triangles are NOT calculated to save time. This is sufficient if you want to make a ply or a vrml file of the mesh.
<M> 在 2024-11-13 上传 | 大小:1kb | 下载:0

[matlab例程pointCloud2mesh

说明:Converts a pointcloud (unordered vertices) to a mesh of triangles by connecting the nearest 3 points and calculates the normal of each vertex and triangle. Also finds the neighboring triangles of each vertex and the neig
<M> 在 2024-11-13 上传 | 大小:2kb | 下载:0

[matlab例程ar_g

说明: PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model imposing stability restrictions using Gibbs sampling y = b0 + y(t-1) b1 + y(t-2) b2 +,...,y(t-k) bk + E, E = N(0,sige*V), sige = gamma(nu,d0), b =
<Jack > 在 2024-11-13 上传 | 大小:3kb | 下载:0
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