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Based on VC++ Genetic algorithm source code (very classic), very impressive

于 2023-01-26 发布 文件大小:86.96 kB
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基于VC++的遗传算法源码(相当经典),非常可观-Based on VC++ Genetic algorithm source code (very classic), very impressive

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    以黎曼几何为理论依据,基于S.Amari的修正核函数思想提出了两种新的保角变换,用其对核函数进行数据依赖性改进,进一步提高支持向量机分类器泛化能力。以人工非线性分类问题 为对象进行研究,仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能,而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sidea.And the kernel function was modified by the transformation in a data-dependent way.Our experimental results for theartificial nonlinear data set show that the generalization performance of support vector machines classifier is improvedremarkably and the number of support vectors is decreased greatly.
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    这个是用来进行基频检测的,目前做的最好的应该数Paul的基频提取算法了,误差可以小于万分之五。该源代码的算法是我根据Paul的算法修改得到,省略了插值部分,所以误差在百分之五以内,但是在实际工作中已经足够了。-is for the frequency of detection, so the best should be the number of frequency Paul extraction algorithm, can be less than prior error. The source code for the algorithm is based on the algorithm Paul to be amended, omitted the interpolation part, the error within 5%, but the actual work has been sufficient.
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