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hist2dtest.m
Make 2D histogram on pairs of (x,y) data
- 2011-01-16 02:00:33下载
- 积分：1
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upc_vc_hsm_toolkit
说明： 基于HSM（harominic/stochastic model）模型的声音转换工具包。内含声音的预处理，分割，建模，参数转换以及实验部分。需要具备一定的语音转换相关知识。(Based on HSM (harominic/stochastic model) model voice conversion kit. Includes pre-sound, segmentation, modeling, parameter conversion and experimental parts. Need to have some knowledge of voice conversion.)
- 2011-02-21 16:40:21下载
- 积分：1
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PID-and-RBF-Neural-Network
与大家分分享一篇发表的小论文啊，水平有限，希望大家一起学习，共同进步。(Share article published papers and divide it, ah, the limited level of hope with learning and common progress.)
- 2013-03-11 21:53:07下载
- 积分：1
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49636941newGA-TSP
用遗传算法求解TSP问题的matlab程序(TSP by genetic algorithm matlab program issues)
- 2009-04-26 14:07:55下载
- 积分：1
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image-fusion-matlab
图形图像的处理 基于加权的融合方法MATLAB程序设计(Graphic image processing method based on weighted fusion MATLAB programming)
- 2011-04-26 08:07:30下载
- 积分：1
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chapter4
小波分析理论与MATALB R2007 实现第四章代码，一些简单例子(Wavelet theory and MATALB R2007 A Chapter of code, some simple examples)
- 2012-05-27 11:15:42下载
- 积分：1
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fhmismwk
可以实现模式识别领域的数据的分类及回归，进行波形数据分析,MIMO OFDM matlab仿真,滤波求和方式实现宽带波束形成，基于matlab GUI界面设计,基于人工神经网络的常用数字信号调制。( You can achieve data classification and regression pattern recognition, Waveform data analysis, MIMO OFDM matlab simulation, Filtering summation way broadband beamforming, Based on matlab GUI interface design, The commonly used digital signal modulation based on artificial neural network.)
- 2016-03-13 22:27:17下载
- 积分：1
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CACC_Discretization
一种基于分类属性的相依系数的离散化方法.对于一部分为分类属性和连续属性的离散化问题解决较好.(algorithm based on Class-Attribute Contingency Coefficient,Is a study of the discretization, algorithms and procedures )
- 2010-06-05 00:27:37下载
- 积分：1
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@linear
针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)
- 2008-01-08 21:38:17下载
- 积分：1
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PSAT
POWERTRAIN SYSTEMS ANALYSIS TOOLKIT (PSAT)
A Flexible, Reusable Model for Simulating Advanced Vehicles
- 2011-04-19 14:17:03下载
- 积分：1
