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fcccccc
计算FCC结构的三维光子晶体的ALD沉积后的程序，功能强大(FCC structure calculation of three-dimensional photonic crystal of ALD deposition process ， powerful)
- 2010-07-18 18:15:40下载
- 积分：1
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source_d
ofdm 解调simulink模块，调试版(OFDM demodulation simulink module, debug version)
- 2008-01-24 22:22:59下载
- 积分：1
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Arnold000
说明： 这是一个混沌的Anrold变换 他是一次变换加密 是一个混沌加密入门程序(This is a chaotic Anrold transform He is a transformation encryption is a chaotic encryption entry procedures)
- 2021-03-03 15:39:33下载
- 积分：1
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ipc
inter-process communication (IPC) is a set of methods for the exchange of data among multiple threads in one or more processes. Processes may be running on one or more computers connected by a network. IPC methods are divided into methods for message passing, synchronization, shared memory, and remote procedure calls (RPC). The method of IPC used may vary based on the bandwidth and latency of communication between the threads, and the type of data being communicated.
- 2014-10-10 10:19:21下载
- 积分：1
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[emuch.net]ABAQUS_Standard
The user material subroutine example
- 2014-11-15 11:37:42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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yichuansuanfahanshuyouhua
对遗传算法思想的理解和认识,对一个函数求其最小值，采用遗传算法的交叉，变异等特征进行优化求解(Genetic algorithms for understanding and awareness of thoughts, seeking the minimum of a function, using genetic algorithm crossover and mutation characteristics of the optimal solution)
- 2010-11-09 15:15:02下载
- 积分：1
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license_server
matlab matlab source code lic lice
- 2011-06-08 20:20:16下载
- 积分：1
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LBPHF_S_M
LocalbinaryPattern Code
- 2013-05-10 00:20:17下载
- 积分：1
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mangan_v24
D-S证据理论数据融合，用于时频分析算法，空间目标识别，采用PM算法。( D-S evidence theory data fusion, For time-frequency analysis algorithm, Space target recognition algorithm using PM.)
- 2017-02-26 21:36:04下载
- 积分：1
