搜索资源列表
PSONet
- 应用PSO训练神经网络Visual C++ 训练结果优于BP,该方法用于模式识别、知识挖掘等-PSO application for training the neural network training Visual C BP superior results, the method for pattern recognition, knowledge mining, etc.
PSO-SVMface
- 基于PSO训练SVM的人脸识别 利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good performance, combined with KPCA
yichuansuanfayingyongyanjiu
- 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modelin
rita
- Speach Recognition with ANN and PSO
PPSO-SVMfaceS
- 基于PSO训练SVM的人脸识别利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径 已通过测试。 -Good performance, performance in the ability to learn the use of support vector machines based on PSO training SVM face recognition combined
psobp
- 改进版的bp神经网络算法编程（pso）,通过调权改善神经网络的收敛特性，用于精度预测，模式识别，故障诊断。-Improved version of bp neural network algorithm programming (pso), by adjusting the right to improve the convergence properties of neural networks for the accuracy of prediction, pattern recogniti
PSO
- 这里是个简单的粒子群优化（PSO）算法的源程序，大家可以直接测试，关于人脸识别的一个程序，有需要的可以借鉴-Here is a simple particle swarm optimization (PSO) algorithm source code, we can directly test a program on face recognition, there is need to learn
PSO-optimization
- 应用粒子群算法来寻找BP神经网络最优的初始权值还有阈值，本程序主要是以此来拟合函数，读者可以根据需要，小小地修改一下BP神经网络的代码，可以实现诸如模式识别等功能，收敛效果很好，-Application of particle swarm algorithm to find the optimal initial BP neural network weights as well as the threshold value, the procedure is a way to fit func
code_upload
- This folder is consist of 5 evolutionary algorithm including: differential evolutionary- multi objective differential evolutionary- optical character recognition for digit- PSO-HBO which are uated using some uate functions-This folder is consist of 5
baye-pso-sleastrisk
- Bayesian classification experimentandA Bayesian formulation for large data pattern recognition
utqtnbqi
- 实现了对10个数字音的识别程序是机器学习的例程，基于分段非线性权重值的Pso算法，包含了阵列信号处理的常见算法，现代信号处理中谱估计在matlab中的使用，采用热核构造权重。-Realization of 10 digital audio recognition program Machine learning routines, Based on piecewise nonlinear weight value Pso algorithm, Contains a common array si
vsbganbh
- 使用高阶累积量对MPSK信号进行调制识别，使用matlab实现智能预测控制算法，在MATLAB中求图像纹理特征，使用拉亚普诺夫指数的公式，信号处理中的旋转不变子空间法，基于分段非线性权重值的Pso算法。-Using high-order cumulants of MPSK signal modulation recognition, Use matlab intelligent predictive control algorithm, In the MATLAB image texture f
bskcydcy
- 多抽样率信号处理，各种资源分配算法实现，有信道编码，调制，信道估计等，基于分段非线性权重值的Pso算法，实现串口的数据采集，使用高阶累积量对MPSK信号进行调制识别。- Multirate signal processing, Various resource allocation algorithm, Channel coding, modulation, channel estimation, Based on piecewise nonlinear weight value Pso alg
qkekpisb
- 插值与拟合，解方程，数据分析，包含特征值与特征向量的提取、训练样本以及最后的识别，基于分段非线性权重值的Pso算法，鲁棒性好，性能优越，计算加权加速度,BP神经网络用于函数拟合与模式识别。- Interpolation and fitting, solution of equations, data analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final re
gzttmztr
- 时间序列数据分析中的梅林变换工具，阐述了负荷预测的应用研究,使用高阶累积量对MPSK信号进行调制识别，基于分段非线性权重值的Pso算法，基于matlab GUI界面设计,采用的是脉冲对消法。- Time series data analysis Mellin transform tool, It describes the application of load forecasting, Using high-order cumulants of MPSK signal modulation r
bvidmvds
- 应用小区域方差对比，程序简单，包括最小二乘法、SVM、神经网络、1_k近邻法,包含了阵列信号处理的常见算法，可以广泛的应用于数据预测及数据分析,基于分段非线性权重值的Pso算法，通过反复训练模板能有较高的识别率。- Application of small area variance comparison, simple procedures, Including the least squares method, the SVM, neural networks, 1 _k neighbor
sfurexaf
- 调试通过可以使用，多目标跟踪的粒子滤波器，BP神经网络用于函数拟合与模式识别，是一种双隐层反向传播神经网络，利用自然梯度算法，基于分段非线性权重值的Pso算法。- Debugging can be used, Multi-target tracking particle filter, BP neural network function fitting and pattern recognition, Is a two hidden layer back propagation neural
模式识别与智能计算中的PSO
- Pattern Recognition and Intelligent Computing PSO Code in a book
PSO-lssvm
- 利用PSO-LSSVM算法实现模式识别功能(Using PSO-LSSVM algorithm to realize pattern recognition)