文本倾向性分析程序，由中国科学院计算所开发，基于LDA模型，不可外泄的内部程序，冒着被开除的风险与大家分享，欲下从速。...

一个蚁群算法，大家很想要得东东，共享给大家了。-an ant colony algorithm, we want to fine Eastern, we had to share.

该程序包包含三个函数，一个用于建立BP神经网络，一个用于训练该网络，最后一个用于测试样本。-The package contains three functions, one for the establishment of BP neural networks, one for training the network, the last one for the test samples.

是一个非常全面的pso的程序，有16个函数的测试，并且用三维图形将寻优过程显示出来。对所有的参数都可以修改测试-Is a very comprehensive procedure for the PSO, there are 16 function testing, and using three-dimensional graphics optimization process will be displayed. For all the parameters can modify the test

小波人工神经网络C语言实现(代码)，以及相关支持库，已调试，可运行．-Wavelet artificial neural network C language (code), and related support libraries, have been debug run.

神经网络算法-Neural network algorithm

智能交易系统，，根据均线信号自动买卖，自动化资金管理，推荐1H，GBP/USD，EUR/USD，NZD/USD-2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 17:29 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 30:31 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 31:32 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 39:31 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 40:32 (-unexpected token

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

关于 模式识别 中 C均值 和ISODATA 算法的C++实现 程序以一个二维的数据为例 真实的展现出两类算法的效果-implement C_Means and ISODATA algorith. Taking 2-D data foe example, show the effect of the two algoriths.

支持向量机学习源码程序支持向 量机学习源码程序支持向 量机学习源码程序-Support vector machine learning support vector machine learning source program source program source program support vector machine learning support vector machine learning support vector machine learning source program source program

一种汉字模式识别的VC++源代码，里面包含了学习与识别的算法实现，识别一种汉字前，先学习几遍。识别率高，对学习与研究模式识别很有好处。方便修改。-a Chinese character pattern recognition VC source code, which contains the learning and recognition algorithm, a Chinese character recognition, first learn several times. The high recognition rate for the study and research of pattern recognition is very good. To facilitate change.