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CSharpQQ
- 完整的QQ,传智播客训练的完整项目。非常适合学习网络编程的同学们.-Complete complete project QQ, podcasts Chi Chuan training.
Matlab
- 主要是用于BP网络上面的编程网络是1986年由Rumelhart和McCelland为首的科学家小组提出,是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入(input)、隐层(hide layer)和输出层(output layer)。 -BP
ftpclient
- 实现简单的FTP操作 qt学习者通往网络编程的基础训练-Simple FTP access to network programming operation qt learners basic training
63725
- 考试训练题练习系统,应用程序编程源码,很好的参考资料。-Practice exam questions training systems, applications programming source, a good reference.
face-recognition-system
- 基于PCA和SVM的人脸识别系统,该系统为Matlab源代码编程,利用PCA(主成分分析)和SVM(支持向量机)方法进行训练、识别和测试,人脸识别率为91 。-Based on the PCA and SVM of the face recognition system
pattern-recognition-fisher-logistic
- 模式识别最基本的FISHER线性判别分析,使用数字识别数据集合作为测试 训练 数据 进行判别分析的一种编程实现,其中训练跟测试是分开的。-FISHER basic pattern recognition linear discriminant analysis, using as the test data set to identify the number of training data to achieve a programming discriminant analysis, whi
x
- 半导体数据训练集和测试集用来检测故障,使用MATLAB编程对数据采集-Semiconductor data training and test sets used to detect faults, using MATLAB programming for data collection
comprehensive--89C52-program
- 单片机的综合应用包括电子琴、温度报警器、流水走马灯,温控电机,射击训练游戏编程等各种应用,很全面共41个综合应用-The comprehensive application of SCM including electronic organ, temperature alarm, water lantern, temperature control motor, various applications of shooting training game programming, very co
1.5.4-Checker-Challenge
- 美国大学生编程能力训练平台USACO Chacpter 1第五节第一题源码答案-American college students programming skills training platform USACO Chacpter 1 V source answer to the first question
2.1.5-The-Hamming-Code
- 美国大学生编程能力训练平台USACO Chacpter 2第一节第五题答案+源码-American college students programming skills training platform USACO Chacpter 2 answers+ Code Section fifth title
Sorting-a-Three-Valued-Sequence
- 美国大学生编程能力训练平台USACO Chacpter 2第一节第三题答案+源码-American college students programming skills training platform USACO Chacpter 2 answers+ Code Section III title
function-dyb
- 用Matlab编程,实现解决该问题的单样本训练BP网络,设置一个停止迭代的误差Emin和最大迭代次数。在调试过程中,通过不断调整隐层节点数,学习率η,找到收敛速度快且误差小的一组参数。产生均匀分布在区间[-4,4]的测试样本,输入建立的模型得到输出,与Hermit多项式的期望输出进行比较计算总误差(运行5次,取平均值)-Using Matlab programming, to solve the problem of single sample training BP network, set
lssvm
- 实现最小二乘支持向量机编程,训练样本有97个,测试样本10个,还带自身的sig2和gam的优化-Realization of least squares support vector machine programming, there are 97 training samples, 10 samples tested, but also with their own gam sig2 and optimization
BP-Model-of-NIR
- 近红外光谱分析中的BP模型建立过程,其中在原有BP神经网络模型的基础上自己编程加入了近红外模型验证系数的计算,如R-SquareC.R-SquareP,RMSEC,RMSEP,RSD等。并加入循环语句,设定区间程序可以自动运行并判断最佳隐含层结点数,最佳学习速率,动量因子,训练次数等,同时加入一个验证校正模型实例。-The process of BP model in near infrared spectrum analysis, including the original BP neura
gait
- 步态识别 matlab编程包括建立路径、生成训练库、视频帧提取、格式归一化、生成步态能量图进行识别-Gait recognition matlab programming
shouxieshuzishibie
- 用于手写数字的识别,用Matlab编程,里面有数字样本和程序,用神经网络进行训练,已经运行成功。-For recognition of handwritten digits, Matlab programming, which has digital samples and procedures for training the neural network, has been run successfully.
stone-scisor-cloth
- 这是一个完全自主开发的FLEX小游戏软件。是传统的“石头-剪刀-布”游戏的方法。主要用于FLEX环境下ACTIONscr ipt编程技术的训练。也可用于对学员的培训。- This is a completely self-developed game software FLEX. Is the traditional method of stone- cloth- scissors game. FLEX is mainly used for training under environm
basketball-star
- 这是一个完全自主开发的FLEX小软件。对美国篮球明星进行排名,还可以增加明星“篮球明星排名榜”。主要用于FLEX环境下ACTIONscr ipt编程技术的训练。也可用于对学员的培训。-This is a completely self-developed software FLEX small. The US basketball star ranking, can also increase the Stars basketball star ranking. FLEX is mainly
bwxukkah
- 是本科毕设的题目,FhfmqSW参数利用matlab GUI实现的串口编程例子,现代信号处理中谱估计在matlab中的使用,包括主成分分析、因子分析、贝叶斯分析,RBmVtSR条件通过反复训练模板能有较高的识别率,本程序的性能已经达到较高水平。- The title of the commercial is undergraduate course you FhfmqSW parameter Use serial programming examples matlab GUI implemen
nuicdazs
- 均值便宜跟踪的示例,BWmNuSa参数包含特征值与特征向量的提取、训练样本以及最后的识别,表示出两帧图像间各个像素点的相对情况,利用matlab GUI实现的串口编程例子,RasYwyq条件调试通过可以使用,基于人工神经网络的常用数字信号调制。- Example tracking mean cheap, BWmNuSa parameter Contains the eigenvalue and eigenvector extraction, the training sample, and t