资源列表
spline-function-neural-network
- 基于样条权函数神经网络的手写系统实现。验证了样条权函数神经系统在手写数字识别中的应用价值。-Function neural network system to achieve spline right hand. Verify that the spline weight function of the nervous system applications in handwritten digits recognition.
cbir
- 基于内容的图像检索程序，matlab代码，SVM分类实现，检索效果好，对于研究基于内容检索的学习者用处很大-Content-based image retrieval procedures, matlab code, SVM classification to achieve good retrieval effect, for content-based retrieval research has proved very useful to learn
pso
- 粒子群算法 粒子群算法 -Particle swarm particle swarm particle swarm particle swarm optimization
Pattern-Recognition-and-SVM
- 对四分类图像，使用两个提取特征值向量的方法来提取特征，然后使用SVM进行分类识别，里边包含了LIBSVM进行识别时各个参数的变化时的对结果的影响。里面包含完整源代码，在word里。是我的数字图像作业。-Four categories of images, using two feature extraction methods to extract the value of feature vectors, and then use SVM classification and recognit
libsvm-3.1-[FarutoUltimate3.1Mcode]
- LIBSVM的工具包，里边含有已经编译过的make，64位.32位一般都可以直接使用，的安装vc。这个工具包添加ClassResult.m函数，方便给出各种分类准确率，以及给出判别函数的权值w、偏置b、支持向量在原始训练集中的位置索引以及alpha系数。-搜索 图片 地图 新闻 云端硬盘 日历 翻译 相册 更多 ▼ 翻译 LIBSVM toolkit has been compiled containing inside make, 64 位 .32 bit can generally
tsp-java
- The task of this application was to explore the possibilities of genetic programming and to test it on a well known Traveling Salesman Problem (TSP), where the salesman should visit given number of cities and then return back home, all in the sho
Handwritten-numeral-recognition
- matlab环境下实现对手写体数字的分类识别-Handwritten Arabia digital numeral recognition
mindset_communications_protocol
- 介绍了神念公司的用于神念耳机的TG开发工具。-Introduces the concept of Mindset s concept of God headphones TG development tools.
Homomorphicfiltering
- Homographic filtering technique for segmentation of images
DM
- 这个是数据挖掘关于加利福利亚州的小区房价的分析与预测，所用的分类方法有决策树和神经网络-This is a classification of data mining analysis and prediction about California' s residential housing prices, the use of decision trees and neural networks have
Line-Chess(done)
- 简单的一字棋（也称#字棋）人机对战，利用极大极小方法及阿尔法贝塔剪枝策略。-Simple word game (also known as the# chess) man-machine war, the use of minimax alpha beta pruning methods and strategies.
k12
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-K- means algorithm accept input k Then could be divided into k n data object clustering in order to make the clustering obtained