资源列表
work2.6
- 实现控制规则为T=int（(e+e1)/2）的模糊神经网络控制器(A fuzzy neural network controller with T=int ((e+e1) /2) control rule is implemented.)
SOM神经网络
- C#平台下的应用，可输出SOM神经网络权值矩阵和测试结果(It can output SOM neural network weight matrix and test results.)
sequence_gan
- TensorFlow实现自然语言处理，基于梯度策略算法(Use TensorFlow to deal with the Natural Language Processing)
cnn-text-classfication
- 通过机器学习中的卷积神经网络实现对文本进行分类的算法。(The text is classified by the convolution neural network.)
小网络
- 51单片机智能小车程序，功能是利用神经网络进行防碰撞。(This is a simple program to prevent impact.)
adaboost
- 程序为一种分类算法AdaBoost算法，用于解决二分类问题(The program is a classification algorithm AdaBoost algorithm to solve the two classification problem)
logRegres
- 程序为Logistic回归算法用于分类，主要包含梯度上升法以及改进的梯度上升法(The program is Logistic regression algorithm for classification, mainly including gradient ascent method and improved gradient ascent method)
BPdata
- BP神经网络应用于非线性函数拟合（使用神经网络工具箱）(Application of BP neural network to nonlinear function fitting,which using the neural network toolbox.)
BP_Adaboost
- 基于BP-Adaboost的强分类器设计(Design of strong classifier based on BP-Adaboost)
kMeans
- kMeans 的 Python代码实现, 还有python自带库的kMeans 的实现(The realization of kMeans's Python code, as well as the realization of kMeans with Python's own library.)
HW1-regression
- 线性回归梯度下降法程序，用python实现adagrad梯度下降法(Linear regression gradient descent method, using Python to achieve adagrad gradient descent method.)
pconline1495538012909
- 该工具包为支持向量机工具包，可供学习以及编程工作使用(Support vector machine Toolkit)