资源列表
Genetic-algorithm
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。-The genetic algorithm (Genetic Algorithm) is a computational model of biological evolution process of natural selection and genetic mechanism of the simulation of Darwin
PIE_illum_128x128
- 这是人脸识别时常用的的人脸数据库，PIE数据库，公有69个人-This is when people commonly face recognition face , PIE , individual public 69
PNCC_C
- A speech feature extraction algorithm, according to the frequency domain to extract the characteristics of voice, using matlab programming.
PRIM
- 国外的一种数据拟合方法，可以用于代理模型的构建，方便你进行多学科优化-surrogate model bulid meohod
dbscan-clustering
- Implementation of DBSCAN Clustering in MATLAB
rspcafnni
- 模糊神经网络图像识别, 基于人脸PCA算法的人脸检测识别，LDA特征提取，模糊神经隶属度算法-Fuzzy Neural Network Image Recognition
hongwiashipi
- 基于人工神经网络的红外目标识别与跟踪，运行环境为VISUAL STUDIO OPENCV3环境-Based on artificial neural network infrared target recognition and tracking, the operating environment for the VISUAL STUDIO OPENCV3 environment
CPPADA
- C+++视频cvncvb监控系统,根据支持向量机的特征提取对视频中的物体进行检测识别-C++ video cvbcvb monitoring system, according to the support vector machine to extract the characteristics of the object in the video detection and identification
Masaike_Detection
- 视频在解码过程中，有时候需要检测是否含有马赛克帧，及时去除以提高视频质量。这里利用多线程，实现了视频解码过程中马赛克实时检测。-Video in the decoding process, and sometimes need to detect whether it contains mosaic frame, timely removal to improve the video quality. Here the use of multi-threaded, to achieve the
class
- 利用支持向量机对男女的身高体重建立数学模型，然后来预测性别-Use the support vector machine to establish a mathematical model for the height and weight of men and women, and then to predict gender
ensemble
- 对分类错误的样本所对应权重进行累加得到加权误分类率, 这里我们是基于权重向量而不是其他的错误计算指标来评价分类器的-The weighting of the samples with the wrong classification is weighted by the weighted error rate, where we uate the classifier based on the weight vector rather than the other erroneous met
renkou
- 对人口数量进行数学建模，利用神经网络算法对它的分布进行预测-The mathematical modeling of the population quantity is carried out, and the distribution of the population is predicted by the neural network algorithm