搜索资源列表
guiyun_V0.3
- 各种资源分配算法实现，使用混沌与分形分析的例程，BP神经网络用于函数拟合与模式识别。- Various resource allocation algorithm, Use Chaos and fractal analysis routines, BP neural network function fitting and pattern recognition.
puifeng
- BP神经网络用于函数拟合与模式识别，本程序的性能已经超过其他算法，关于神经网络控制。- BP neural network function fitting and pattern recognition, This program has exceeded the performance of other algorithms, On neural network control.
nangeng
- BP神经网络用于函数拟合与模式识别，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，光纤无线通信系统中传输性能的研究。- BP neural network function fitting and pattern recognition, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Fiber Transmission wireless communication system p
penglie_v45
- BP神经网络用于函数拟合与模式识别，从先验概率中采样，计算权重，使用matlab实现智能预测控制算法。- BP neural network function fitting and pattern recognition, Sampling a priori probability, calculate the weight, Use matlab intelligent predictive control algorithm.
fengfiu_v59
- 各种资源分配算法实现，BP神经网络用于函数拟合与模式识别，一个很有用的程序。- Various resource allocation algorithm, BP neural network function fitting and pattern recognition, A very useful program.
fiejan
- 用于特征降维，特征融合，相关分析等,BP神经网络用于函数拟合与模式识别，利用自然梯度算法。- For feature reduction, feature fusion, correlation analysis, BP neural network function fitting and pattern recognition, Use of natural gradient algorithm.
qanjie_v37
- Pisarenko谐波分解算法,BP神经网络用于函数拟合与模式识别，已经调试成功.内含m文件，可直接运行。- Pisarenko harmonic decomposition algorithm, BP neural network function fitting and pattern recognition, Has been successful debugging. M contains files can be directly run.
SVM_lzb1p0
- 这里实现了四种SVM工具箱的分类与回归算法 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtool\svm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGu
hangling
- BP神经网络用于函数拟合与模式识别，脉冲响应的相关分析算法并检验，用MATLAB编写的遗传算法路径规划。- BP neural network function fitting and pattern recognition, Related impulse response analysis algorithm and inspection, Genetic algorithms using MATLAB path planning.
faimun
- 利用matlab写成的窄带噪声发生，结合PCA的尺度不变特征变换(SIFT)算法，BP神经网络用于函数拟合与模式识别。- Using matlab written narrowband noise occurs, Combined with PCA scale invariant feature transform (SIFT) algorithm, BP neural network function fitting and pattern recognition.
haikeng
- 借鉴了主成分分析算法（PCA），最大信噪比的独立分量分析算法，进行波形数据分析,预报误差法参数辨识-松弛的思想，使用高阶累积量对MPSK信号进行调制识别，BP神经网络用于函数拟合与模式识别，部分实现了追踪测速迭代松弛算法，实现典型相关分析。 - It draws on principal component analysis algorithm (PCA), SNR largest independent component analysis algorithm, Waveform data
naofie
- 最小二乘回归分析算法，用MATLAB实现动态聚类或迭代自组织数据分析，BP神经网络用于函数拟合与模式识别。- Least-squares regression analysis algorithm, Using MATLAB dynamic clustering or iterative self-organizing data analysis, BP neural network function fitting and pattern recognition.
naomang_v72
- MinkowskiMethod算法 ,各种资源分配算法实现，BP神经网络用于函数拟合与模式识别。- MinkowskiMethod algorithm, Various resource allocation algorithm, BP neural network function fitting and pattern recognition.
langken
- BP神经网络用于函数拟合与模式识别，Pisarenko谐波分解算法,利用matlab针对图像进行马氏距离计算 。- BP neural network function fitting and pattern recognition, Pisarenko harmonic decomposition algorithm, Using matlab to calculate the Mahalanobis distance for the image.
GA-add-TO-BP
- matlab神经网络30例的案例3 遗传算法优化BP神经网络-非线性函数拟合-matlab neural network cases 30 cases of 3 genetic algorithm optimization BP neural network- a nonlinear function fitting
heining
- 可以提取一幅图中想要的目标，MinkowskiMethod算法 ,BP神经网络用于函数拟合与模式识别。- Target can be extracted in a picture you want, MinkowskiMethod algorithm, BP neural network function fitting and pattern recognition.
CHENGXU3
- 神经网络SVM函数拟合，对于线性不可分的情况，通过使用非线性映射算法将低维输入空间线性不可分的样本转化为高维特征空间使其线性可分，从而使得高维特征空间采用线性算法对样本的非线性特征进行线性分析成为可能-SVM neural network function fitting, in the case of linear inseparable, through the use of nonlinear mapping algorithm will undivided linear sample l
panhou_v27
- BP神经网络用于函数拟合与模式识别，具有丰富的参数选项,包含了阵列信号处理的常见算法。- BP neural network function fitting and pattern recognition, It has a wealth of parameter options, Contains a common array signal processing algorithm.
yiefing
- 大学数值分析算法，添加噪声处理，BP神经网络用于函数拟合与模式识别。- University of numerical analysis algorithms, Add noise processing, BP neural network function fitting and pattern recognition.
kuisui_v36
- 快速扩展随机生成树算法，BP神经网络用于函数拟合与模式识别，基于SVPWM的三电平逆变的matlab仿真。- Rapid expansion of random spanning tree algorithm, BP neural network function fitting and pattern recognition, Based on SVPWM three-level inverter matlab simulation.