资源列表
qt3
- 这是关于01背包的动态规划算法，给予python3.5,由于课程设计需要，还实现了可视化界面pyqt-This is a dynamic programming algorithm on 01 backpack, giving python3.5, since the curriculum design needs, but also to achieve a visual interface pyqt
BP.c
- 用C语言实现的BP算法，对初学神经网络的人有帮助-BP algorithm using C language for beginners neural network to help people
theano
- theano的基础文档，现在深度学习很火，利用theano可以简单实现深度学习里面的相关算法，本文档是学习theano的基础-theano foundation document, now deep learning is the fire, you can simply use theano achieve deep learning inside the correlation algorithm, this document is the basis for learning theano
caffe-5important-dot
- caffe-人脸关键点定位(5点)，很有用的代码，自己学习了-caffe- face critical point positioning (5:00)
statistical-learning-methods-
- 经典的书，李航讲的统计学习方法，里面主要涉及监督学习方法，感知机、K邻近法、决策树、支持向量机等-Classic book, statistical learning methods Li Hang speak, which is mainly involved in supervised learning method, Perceptron, K neighboring France, decision trees, support vector machine
Fuzzy-controller
- 运用分布补偿法和极点配置法设计模糊控制器，其中配置极点运用遗传算法优化-Using distributed compensation method and pole assignment method to design the fuzzy controller, using genetic algorithm to optimize configuration of pole
Ant_colony_algorithm_robot_path
- 蚁群算法在机器人路径规划中的应用，里面包含程序和论文，是一个课程作业。-Application of ant colony algorithm in robot path planning
Matlab-libsvm-3.21
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包.-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (Lin Chih-Jen) development and design professor.
fuzzyann
- 模糊神经网络就是模糊理论同神经网络相结合的产物，文件中含有三个模糊神经网络的案例。-Fuzzy neural network theory with fuzzy neural network is a combination of product, three cases of fuzzy neural network file contains.
clips_core_source_630
- 广泛使用的专家系统工具CLIPS源码，可以用来构建各类基于规则的专家系统。-Widely used expert system tool CLIPS source code can be used to build all kinds of rule-based expert system.
GenticTSPcode
- 利用遗传算法解决TSP旅行商问题，软甲为C#-GENE TSP
bpnetwork
- bp神经网络算法的Java语言实现，包含多个版本的改进，参考了现有bp神经网络的科研成果。-it is an implement of bp-network in Java .there are several editions in the package .when build it ,we have citing lots of advanced research about it .