The issue of objective quality evaluation based on the Mandarin model, using MOS...

遗传算法神经网络，遗传算法神经网络遗传算法神经网络-genetic algorithm neural networks, genetic algorithms neural networks, genetic algorithm, neural network

股票交易系统自动根据指标进行相关的交易系统-Automatic stock trading system in accordance with indicators related to the trading system

： 移动机器人路径规划是机器人学的一个重要研究领域。 针对移动场地的特点对其进行了建 模与存储，然后将场地处理成简单的连通图-: Mobile robot path planning is an important study robot research field. Characteristics for mobile sites for their modeling and storage, and then deal with the venue into a simple connected graph

这个程序说明了数据挖掘中聚类算法的简单应用-This procedure describes the data mining clustering algorithm simple application

C++ 基于神经网络 法的数字 识别代码-C++ Based on neural network digital identification code

人工智能经典问题TSP问题的C语言实现，内含源程序和调试过程生成的文件-AI classic TSP"s C language, and includes source code debugging process produces files

数据挖掘中dbscan算法的vc实现的源代码-Source code of DBSCAN algorathm of data mining with VC

利用一个较为成熟的遗传算法基础类库（作者:刘康），我自己在做论文的时候写得一个关于利用遗传算法进行节点部署应用的实验程序。您可以很容易地在其基础上实现自己应用相关的算法程序，进行研究验证工作。希望此源码能够为相关人事提供帮助。-Use of a more mature class library based on genetic algorithm (Authors: Liu Kang), I have to do when writing a thesis on the use of genetic algorithm application node deployment Experimental procedures. You can easily realize in their own applications based on the algorithm-related procedures, conduct research validation. I hope that this source can provide assistance for the relevant personnel.

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