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利用遗传算法对图像进行分类处理，包括遗传的思想和实现，以及在图像方面的应用。...
利用遗传算法对图像进行分类处理，包括遗传的思想和实现，以及在图像方面的应用。-The use of genetic algorithm to classify the image processing, including genetic and realization of the idea, as well as the application of the image.
- 2023-03-21 23:10:03下载
- 积分：1
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这是个神经网络工具箱的一点MATALAB 程序
这是个神经网络工具箱的一点MATALAB 程序-This is a neural network toolbox 1:00 MATALAB procedures
- 2022-05-16 11:23:19下载
- 积分：1
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based on the finite state machine language digital voice endpoint detection. Rar...
基于有限状态机的汉语数字语音端点检测.rar.rar格式为ｖｉｐ-based on the finite state machine language digital voice endpoint detection. Rar.rar format vip
- 2022-05-13 12:31:22下载
- 积分：1
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遗传算法求解TSP问题
遗传算法求解TSP问题-genetic algorithm for TSP
- 2022-03-21 18:07:52下载
- 积分：1
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用VC++编写的遗传算法源程序，可以用内容较多
用VC++编写的遗传算法源程序，可以用内容较多-very useful, widely,VC++, coding, Genetic algorithm of C++
- 2023-08-03 09:30:05下载
- 积分：1
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neural network training procedures used for RBF network weights training. good u...
神经网络训练程序，用来进行RBF网络的权值训练，利用训练好的权值可以进行自适应滤波！-neural network training procedures used for RBF network weights training. good use of training weights can be adaptive filtering!
- 2022-08-17 00:33:51下载
- 积分：1
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《遗传算法理论应用与软件实现》中的初始化MATLAB源代码
《遗传算法理论应用与软件实现》中的初始化MATLAB源代码-"genetic algorithm theory and application software," the source code initialization MATLAB
- 2022-04-19 02:16:33下载
- 积分：1
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混合智能算法，采用visual c++语言编写，注释完整，清晰易懂
混合智能算法，采用visual c++语言编写，注释完整，清晰易懂-Hybrid Intelligent Algorithm
- 2022-07-08 19:52:02下载
- 积分：1
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Tutorial of RVM
通俗的介绍了RVM与SVM的区别,写的非常通俗易懂-Tutorial of RVM
- 2022-02-10 10:10:47下载
- 积分：1
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Proposed based on minimizing the estimated generalization error bound of the non
提出了基于最小化估计的泛化误差界非优化估计方法。目前大多数的核参数选择方法都是通过极小化了来得到最优参数值，但是求解优化问题的计算代价相当的大，并且不能很好地体现数据的分布特征。本文采用非优化技术，通过极小化泛化误差来优化核及相关参数，由于直接计算最小半径和最大间隔，避免了对优化问题的直接求解，因此可以很好地降低计算代价。并且该方法直接从样本出发，可以很好地体现数据的分布特征，不管数据分布是否均匀都可以适用。给出了基于凸包估计的SVM核选择的模型及实现算法。
-Proposed based on minimizing the estimated generalization error bound of the non-optimal estimation method. Most of the nuclear parameter selection methods are to get the best by minimizing the parameter values, but the computational cost for solving optimization problems is quite large, and can not properly reflect the distribution characteristics of the data. In this paper, the non-optimization technology, by minimizing the generalization error to optimize the nuclear and related parameters, due to the direct calculation of the minimum radius and maximum interval, avoiding the direct solution of the optimization problem, it can very well reduce the computation cost. And that the method directly from the sample one can well reflect the distribution chara
- 2022-01-26 04:59:56下载
- 积分：1
