支持向量机Windows Svm

MATLAB 下的模式识别特征提取 用于对特征信号的提取-MATLAB under the feature extraction for pattern recognition features of the signal extraction

求解tsp问题的局部优化算法-the local optimization algorithm

实现增量SVM算法，通过对因子的选择增量式的来训练SVM，大大加快了SVM算法的训练速度-To achieve incremental SVM algorithm, through the choice of factors Incremental to train SVM, greatly accelerated the speed of SVM training algorithm. .

《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

命题逻辑中的推理规则可以用来证明一个已经表示成命题公式的定理，但它还不便于机械化实施。因为其中的各条规则都未指明在推导的什麽步骤上应该引入什麽前提或中间结论，这些还有赖于人的经验技巧和才能。1960年王浩提出的算法，可以完全脱离人的经验和技巧，机械地构造每一步推导，证明一个命题逻辑定理的成立。 -Propositional logic in the inference rule can be used to prove that a propositional formula has been expressed as the theorem, but it is not easy to implement mechanization. Because the rules did not specify what steps in the derivation of what should be the introduction of the premise or intermediate conclusions, which also depends on the person s experience of the skills and talent. Wang Hao in 1960 proposed algorithm can be completely divorced from the person s experience and skills, a mechanical structure is derived for each step to prove that a propositional logic theorem establishment.

神经网络和遗传算法组合应用-neural networks and genetic algorithms combined application

线性M3网络及其示意图，用于检测M3网络冗余的算法-err

灰度变换的实例程序，其中的CDib类可以直接应用于其他的图像处理程序。-gray transform examples procedures, which the CDib categories can be directly applied to other image processing.

这是一个使用VC++编写的“基于神经网络方法的专家系统源代码”，很有参考价值，请检查-It is a preparation of the VC, "based on neural network expert system source code," was useful, please check

转载：对神经网络中使用最广泛的一种：BP神经网络采用vbmatlab来实现，把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-reproduced : the neural network the most widely used one : BP vbmatlab using neural networks to achieve, it is copyed into the training data. m*. load the document, Central to the paper load*. m to save Inventory test data for the paper test data bp predictive value, The procedure can be expanded to import n, n output, it is easy