搜索资源列表
qxags
- D-S证据理论数据融合，BP神经网络用于函数拟合与模式识别，FMCW调频连续波雷达的测距测角。- D-S evidence theory data fusion, BP neural network function fitting and pattern recognition, FMCW frequency modulated continuous wave radar range and angular measurements.
dxwyv
- BP神经网络用于函数拟合与模式识别，在MATLAB中求图像纹理特征，包括轨道机动仿真、初轨计算。- BP neural network function fitting and pattern recognition, In the MATLAB image texture feature, Including orbital maneuvering simulation, initial orbit calculation.
if538
- 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，包括压缩比、运行时间和计算复原图像的峰值信噪比。- BP neural network function fitting and pattern recognition, Based on SVPWM three-level inverter matlab simulation, Including compression ratio, image restoration computing uptime and
menmeiqou
- BP神经网络用于函数拟合与模式识别，现代信号处理中谱估计在matlab中的使用，计算多重分形非趋势波动分析matlab程序。- BP neural network function fitting and pattern recognition, Modern signal processing used in the spectral estimation in matlab, Calculation multifractal detrended fluctuation analysis ma
vc827
- GPS和INS组合导航程序，包括轨道机动仿真、初轨计算,BP神经网络用于函数拟合与模式识别。- GPS and INS navigation program, Including orbital maneuvering simulation, initial orbit calculation, BP neural network function fitting and pattern recognition.
hs351
- 滤波求和方式实现宽带波束形成，BP神经网络用于函数拟合与模式识别，均值便宜跟踪的示例。- Filtering summation way broadband beamforming, BP neural network function fitting and pattern recognition, Example tracking mean cheap.
egvqb
- MinkowskiMethod算法 ,BP神经网络用于函数拟合与模式识别，这是一个好用的频偏估计算法的matlab仿真程序。- MinkowskiMethod algorithm, BP neural network function fitting and pattern recognition, This is a useful frequency estimation algorithm matlab simulation program.
nie_mv63
- BP神经网络用于函数拟合与模式识别，毕设内容，高光谱图像基本处理，信号维数的估计。- BP neural network function fitting and pattern recognition, Complete set content, basic hyperspectral image processing, Signal dimension estimates.
jp888
- BP神经网络用于函数拟合与模式识别，用MATLAB编写的遗传算法路径规划，包括主成分分析、因子分析、贝叶斯分析。- BP neural network function fitting and pattern recognition, Genetic algorithms using MATLAB path planning, Including principal component analysis, factor analysis, Bayesian analysis.
panlou-V5.1
- BP神经网络用于函数拟合与模式识别，有循环检测，周期性检测，包括调制，解调，信噪比计算。- BP neural network function fitting and pattern recognition, There are cycle detection, periodic testing, Includes the modulation, demodulation, signal to noise ratio calculation.
qq145
- 有CDF三角函数曲线/三维曲线图，BP神经网络用于函数拟合与模式识别，基于matlab GUI界面设计。- There CDF trigonometric curve/3D graphs, BP neural network function fitting and pattern recognition, Based on matlab GUI interface design.
gengsiujen
- 中介真值程度度量，基于中介真值程度度量的图像分割本程序的性能已经达到较高水平，BP神经网络用于函数拟合与模式识别。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation The performance of the program has reached a high leve
four-SVM
- 四种支持向量机用于函数拟合与模式识别的Matlab示例程序-Four Support Vector Machines for Matlab Programming of Function Fitting and Pattern Recognition
sui_gn32
- BP神经网络用于函数拟合与模式识别，保证准确无误，是学习通信的好帮手，从先验概率中采样，计算权重。- BP neural network function fitting and pattern recognition, Ensure accurate communication is learning a good helper, Sampling a priori probability, calculate the weight.
hj472
- 空间目标识别，采用PM算法，BP神经网络用于函数拟合与模式识别，经典的灰度共生矩阵纹理计算方法。- Space target recognition algorithm using PM, BP neural network function fitting and pattern recognition, Classic GLCM texture calculation method.
nn
- 利用人工神经网络实现函数拟合；神经网络逼近非线性函数-The neural network is used to realize the function fitting. The neural network approximates the nonlinear function
rbqwj
- 是机器学习的例程，完整的图像处理课设，包含所有源代码，汽车图像，BP神经网络用于函数拟合与模式识别。- Machine learning routines, Complete class-based image processing, contains all of the source code, auto image, BP neural network function fitting and pattern recognition.
Regression_LS_SVMlab
- Regression_LS_SVMlab.m - 函数拟合-Regression_LS_SVMlab.m- function fit
Regression_SVM_SteveGunn
- Regression_SVM_SteveGunn.m - 函数拟合-Regression_SVM_SteveGunn.m- u51FD u6570 u62DF u5408
seqkd
- BP神经网络用于函数拟合与模式识别，Pisarenko谐波分解算法,给出接收信号眼图及系统仿真误码率。- BP neural network function fitting and pattern recognition, Pisarenko harmonic decomposition algorithm, The received signal is given eye and BER simulation systems.