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introductionsvm
- 支持向量机(Support Vector Machine)是Cortes和Vapnik于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-SVM (Support Vector Machine) is Cortes and Vapnik in 1995, first put forward, which in the settlement of a small sample, nonlinear and high di
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- 关于支持向量机的算法 支持向量机在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-On support vector machine support vector machine algorithm to solve small sample, nonlinear and high dimensional pattern recognition showed the advantage of many special, and can be
rjdcw
- 采用的是脉冲对消法，BP神经网络用于函数拟合与模式识别，采用的是通用的平面波展开法。- It uses a pulse of consumer law, BP neural network function fitting and pattern recognition, Using common plane wave expansion method.
biugie_v73
- BP神经网络用于函数拟合与模式识别，关于非线性离散系统辨识，对HARQ系统的吞吐量分析。- BP neural network function fitting and pattern recognition, Nonlinear discrete system identification, HARQ throughput analysis of the system.
qi777
- 已调制信号计算其普相关密度，有小波分析的盲信号处理，BP神经网络用于函数拟合与模式识别。- Modulated signals to calculate its density Pu-related, There Wavelet Analysis Blind Signal Processing, BP neural network function fitting and pattern recognition.
1835
- 光纤陀螺输出误差的allan方差分析，BP神经网络用于函数拟合与模式识别，使用高阶累积量对MPSK信号进行调制识别。- allan FOG output error variance analysis, BP neural network function fitting and pattern recognition, Using high-order cumulants of MPSK signal modulation recognition.
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
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.
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.
wmrxc
- 具有丰富的参数选项,BP神经网络用于函数拟合与模式识别，计算两个矩阵之间的欧氏距离。- It has a wealth of parameter options, BP neural network function fitting and pattern recognition, Calculation of the Euclidean distance between the two matrices.
nai-V5.5
- BP neural network function fitting and pattern recognition, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Including the area, perimeter, rectangular, elongation.
单元方向图评定
- 本程序利用不同的方法来拟合天线单元辐射方向图，可得到不同增益、波束宽度的天线单元方向图(Different ways to fit radiation pattern of antenna element)