资源列表
training_net
- 双层BP神经网络用于模式识别，4个特征值输入，输出识别结果采用二进制编码-Double-layer BP neural networks for pattern recognition, the four eigenvalues input, output recognition results using binary coding
MonteCarlo
- 神经网络，人工智能，蒙特卡洛算法，matlab源代码-Neural networks, artificial intelligence, the Monte Carlo algorithm, matlab source code
LSSVM
- 通过运用LSSVM的方来来进行sine函数的归一化处理-Through the use of LSSVM square to the sine function normalized
liblinear-1.7
- 用于解决机器学习中分类问题，里面包含python，matlab和octave的接口及示例。-LIBLINEAR is a simple package for solving large-scale regularized linear classification.
Effectual-Method-for-Crowd-Counting
- 对固定镜头下视频序列中运动人体的检测和跟踪方法进行研究，利用灰度图像差分双向投影信息检测人体目标，提出一种基于统 计运动区域几何特征固定比例的分割算法，使用最近邻匹配方法对人体进行跟踪。-Video sequences in the detection and tracking of the movement of the human body to study under the fixed lens, bi-directional projector information using
Studysurvey-on-movingobjectdetection
- 学术论文：运动目标检测是当前研究热点之一,被广泛地应用于计算机视觉、视频处理等领域。将 运动目标检测的三种常用方法进行对比,总结其各自的适用性及局限性-Papers: moving target detection is one of the current research focus is widely used in the field of computer vision, video processing. Compared three common methods of movi
Estimation-crowd-density
- 本文提出了一种基于小波变换与灰度共生矩阵的人群密度特征提取方法，进而利用支撑向量机实现人群密度级别的估 计。实验结果表明本文提出的方法是可行的。-In this paper, based on population density characteristics of the wavelet transform and GLCM extraction method, and then using the support vector machine to estimate the crowd
Automatic-People-Counting-
- 提出了智能视频监控中基于机器学习的自动人数统计系统。。该系统通过机器学习的方法对视频序列中人的头肩部位进行准确地检测。克服了传统检测方法如连通域分析和简单模板匹配的不足。-Automatic people counting system based on machine learning in intelligent video surveillance. . The system through machine learning methods to accurately detect the
ant
- 基本蚁群算法在TSP问题中的应用，Basic Ant Colony Algorithm for TSP-Basic Ant Colony Algorithm for TSP
C语言解决八皇后问题
- C语言解决八皇后问题.doc
NEURAL-NETWORK-LM-ALGORITHM
- 一种前馈神经网络算法,关键词：神经网络；误差反向传播算法；Hesse矩阵-A MODIFIED FEED-FORWORD NEURAL NETWORK LM ALGORITHM
A-star-eight-the-number-of-problems
- 用A星算法实现--八数码问题 C++源代码 使用错误位置法-A star algorithm Law- eight digital C++ source code using the wrong position