Boltzmann Machine Optimization 人工智能人工神经网络源码

运用比例共轭梯度动量算法来训练BP网络并对机械振动峰峰值进行预测。-use ratio conjugate gradient algorithm to train the momentum BP also peak of mechanical vibration prediction.

使用遗传算法、模拟退火算法求解设计结构矩阵，并进行对比分析-The use of genetic algorithms, simulated annealing algorithm design structure matrix, and a comparative analysis of

遗传算法和神经网络结合，利用两种算法的优点，有很好的参考价值-Genetic algorithms and neural networks combine the advantages of using two algorithms, a very good reference value

遗传算法的c语言程序-Genetic Algorithm c Language Program

NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary

MATHEMATICA 软件运用 The biggest similarity for tsp-MATHEMATICA software to use The biggest similarity for tsp

与神经网络有相似的根源。但近年来在分类中得到了广泛的应用。这意味着，如果我对一些事物进行了分类（但你对我如何分类一无所知，或者说你不知道用于分类的规则），当一个新数据出现时，SVM可以预测它应该属于哪个集合。

基本遗传算法的源代码，比较各代种群的进化。-The basic genetic algorithm source code, comparing the generation of species evolution.

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2

标准遗传算法源码 C语言编程 求解函数优化问题。-Standard genetic algorithm C language programming for Function Optimization.