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ria_orthomax
In factor analysis rotations of the loadings are very often applied, whereas in chemometrics these methods are very seldom used. This is in spite of the fact that it is possible to obtain better conditions for interpretation of PCA models on complex data.
I here provide an algorithm by which it is possible to apply rotations from the Orthomax family (quartimax and varimax) to a PCA-model.
- 2010-06-10 11:52:29下载
- 积分:1
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num
说明: 利用matlab采用基于Gabor特征的识别算法实现手写数字识别(Using matlab recognition based on Gabor feature recognition algorithm for handwritten numeral)
- 2011-03-06 14:15:32下载
- 积分:1
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ganzhiqi
单层感知器分类和权值调整过程,学习率分别为0.01 0.05 0.1 0.5(Single layer perceptron device classification and weights to adjust the process)
- 2012-05-24 19:37:42下载
- 积分:1
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cwstd
一个小程序,可以解决一些教复杂的问题,可以根据实际情况接着进行编写( a a a sample can solove a question for some maths )
- 2012-09-18 10:50:01下载
- 积分:1
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Fuzzy-and-Neural-network-in-Approache-in-Engeneer
Book fuzzy and neural network Book using Matlab
- 2011-11-25 00:20:11下载
- 积分:1
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cljs
用于计算输电网的潮流,充分考虑到线路中变压器的各种输入形式,将其归算到一种标幺值下。(Used to calculate the trend of the transmission grid, taking fully into account the the line transformer various input form, be imputed to a per-unit value.)
- 2013-04-18 14:42:53下载
- 积分:1
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SALOHA-Protocol-Simulation
时隙ALOHA协议是对ALOHA协议的简单修改,把传输时间分为一个个时隙,数据包只能在时隙的开始进行并行传输。在当前的时隙中产生的数据包只能在下一个时隙的开始进行并行传输。(Time slot ALOHA protocol is simple modification of ALOHA protocol, the transmission time is divided into a time slot, packets can only be the beginning of time slot for parallel transmission. In the current time slot of packets can only be the beginning of the next time slot for parallel transmission.
)
- 2013-12-08 15:03:22下载
- 积分:1
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umat_thermoviscoplastic
用于ABAQUS二次开发,考虑温度和应变速率的热动力学程序。是用于隐式算法的umat文件(a Fortran code for thermoviscoplastic algorithm. implicit algorithm for abaqus umat)
- 2017-04-26 21:31:53下载
- 积分:1
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LDPC
this may use ful this for u
- 2009-12-11 01:48:51下载
- 积分:1
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rbf_atrifical_neual_networks
说明: ① 样本数据从MATLAB命令窗口或新建一M文件作为数据输入文件,样本输入变量名为samin,样本输出变量名samout 样本个数和每个样本的维数可任意,样本输出的个数与样本个数应一致,即保证每个样本都对应一个期望输出,但每个输出的维数不要求与输入的维数相同,可任意;
② 聚类中心的个数(即基函数的个数)可根据实际情况调整;同样可调整参数的还有重叠系数、聚类中心最大更新次数、聚类中心更新终止误差;
③ 训练结束后进行测试时,要求输入的测试数据与样本具有相同的维数,测试数据的个数可任意;
④ 如果训练样本是二维的,则数据中心聚类的结果可用一平面图显示出来;同样测试数据的输出是一维的话也可显示出来;
(RBF artifical neual networks)
- 2010-04-22 21:25:46下载
- 积分:1