资源列表
第10章 模糊逼近算法
- RBF网络的学习过程与BP网络的学习过程类似，两者的主要区别在于各使用不同的作用函数。BP网络中隐层使用的是Sigmoid函数，其值在输入空间中无限大的范围内为非零值，因而是一种全局逼近的神经网络；而RBF网络中的作用函数是高斯基函数，其值在输入空间中有限范围内为非零值，因为RBF网络是局部逼近的神经网络。(The learning process of RBF networks is similar to the learning process of BP networks. The mai
案例28
- 灰色神经网络matlab案例源码，5因素市场预测，可用于小样本预测与估计。(Gray neural network matlab case source code, 5 factors market forecast, can be used for small sample forecasting and estimation.)
svm手写数字识别
- Python语言实现的SVM手写数字识别(SVM handwritten numeral recognition based on Python language)
JSvmLib
- 用java实现的svm用来理解svm非常不错(this is svm source use java)
GA
- 遗传算法工具箱用于一维二维寻优示例matlab程序(The genetic algorithm toolbox for one and two-dimensional optimization example program)
SVMcgForClass.m
- 二分类，参数寻优 matlab 支持向量机(Two classification)
opencvCar
- 对车牌进行图像处理，包括字符分割处理，字符识别处理(License plate for image processing, including character segmentation, character recognition processing)
Bpnet
- 梯度下降法BP神经网络程序，可读取CSV文件(Gradient descent BP neural network program, can read CSV file)
project
- 基于c++语言和opencv的视觉立体匹配(Visual stereo matching based on c++ language and opencv)
A算法实现
- 基于人工智能中的A算法，编程并解决旅行商问题(Based on the A algorithm in artificial intelligence, programming and solving traveling salesman problem)
用遗传算法优化BP神经网络的Matlab编程实例
- 用遗传算法优化BP神经网络的Matlab编程实例，非常实用(BP neural network optimization using genetic algorithm Matlab programming examples, very practical)
jengganlan
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The entire training process BP neural network.