GA_RBF_SVM

说明：  采用机器学习预测房价.使用波士顿房屋信息数据来训练和测试一个模型，并对模型的性能和预测能力进行评估。(Using Machine Learning to Predict House Prices)

说明：  用于轴承大数据的故障诊断和数据挖掘，可将轴承的振动信息进行数组分析，获得预测模型，准确率较高(It can be used for fault diagnosis and data mining of bearing big data. It can analyze the vibration information of bearing by array and obtain the prediction model with high accuracy)

说明：  深度学习框架Keras入门资料，里面的代码包括课件和DEMO有利于新书入门学习，简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)

一个介绍最优化方法课件,很详细,从最简单的一维搜索到共轭梯度,最速下降法等等,都有说明(An introduction to the optimization method courseware, very detailed, from the simplest one-dimensional search to conjugate gradient, the steepest descent method, etc.)

C++经典数值算法源码, 包括线性代数方程组的求解, 数学变换与滤波等(C classical numerical algorithm source code, including the solution of linear algebraic equations, mathematical transformation and filtering, etc.)

python算法教程，数据结构和算法实例在python下的应用范例(tutorial of python algorithms, data structures and algorithms instance application examples in python)

分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

设计一个校园导游咨询程序,为来访的客人提供学校最短路径信息查询服务(Design a campus tour guide consultation program to provide the shortest path information inquiry service for visitors)

用蚁群算法求解TSP问题,最大的特点是有详细的中文注释()

pku acm 1001,share it and enjoy it acm pku edu cn if you have any