搜索资源列表
fouqui
- 详细画出了时域和频域的相关图，关于神经网络控制，迭代自组织数据分析。- Correlation diagram shown in detail the time domain and frequency domain, On neural network control, Iterative self-organizing data analysis.
nangkeng_v30
- 迭代自组织数据分析，虚拟力的无线传感网络覆盖，利用最小二乘法进行拟合多元非线性方程。- Iterative self-organizing data analysis, Virtual power wireless sensor network coverage, Multivariate least squares fitting method of nonlinear equations.
pengfen
- BP神经网络用于函数拟合与模式识别，中介真值程度度量，基于中介真值程度度量的图像分割迭代自组织数据分析。- BP neural network function fitting and pattern recognition, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation
giehen_v77
- 迭代自组织数据分析，雅克比迭代求解线性方程组课设,虚拟力的无线传感网络覆盖。- Iterative self-organizing data analysis, Jacobi iteration for solving linear equations class-based, Virtual power wireless sensor network coverage.
443397781MatLab
- 自组织神经网络字符分类，初始值随机，分类效果良好。-Self-organizing neural network English character classification procedures, the initial value of random, categorical effect is good.
fuineng_v69
- MinkowskiMethod算法 ,是一种双隐层反向传播神经网络，用MATLAB实现动态聚类或迭代自组织数据分析。- MinkowskiMethod algorithm, Is a two hidden layer back propagation neural network, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
qieqen
- 用MATLAB实现动态聚类或迭代自组织数据分析，在matlab R2009b调试通过，采用加权网络中节点强度和权重都是幂率分布的模型。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, In matlab R2009b debugging through, Using weighted model nodes in the network strength and weight are pow
qingtang_v75
- 迭代自组织数据分析，是一种双隐层反向传播神经网络，实现六自由度运动学逆解算法。- Iterative self-organizing data analysis, Is a two hidden layer back propagation neural network, Six degrees of freedom to achieve inverse kinematics algorithm.
qeijei
- 对球谐函数图形进行仿真,迭代自组织数据分析，BP神经网络的整个训练过程。- Of spherical harmonics graphic simulation, Iterative self-organizing data analysis, The entire training process BP neural network.
fun_ec86
- 数值分析的EULER法，采用加权网络中节点强度和权重都是幂率分布的模型，用MATLAB实现动态聚类或迭代自组织数据分析。- EULER numerical analysis method, Using weighted model nodes in the network strength and weight are power law distribution, Using MATLAB dynamic clustering or iterative self-organizing data
pou
- BP神经网络用于函数拟合与模式识别，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，isodata 迭代自组织的数据分析。- BP neural network function fitting and pattern recognition, PV modules contain, MPPT module, BOOST module, inverter module, Isodata iterative self-organizing data analysis.
gq620
- ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，用MATLAB实现动态聚类或迭代自组织数据分析，包括最小二乘法、SVM、神经网络、1_k近邻法。- ofdm system simulation including 16qam modulation fft windowing modules plus cp, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including t
fastSOINN
- 自组织增量神经网络，自组织增量神经网格，自组织增量神经网络-Self-organizing incremental neural network
jiu_ek20
- BP神经网络用于函数拟合与模式识别，可以广泛的应用于数据预测及数据分析,迭代自组织数据分析。- BP neural network function fitting and pattern recognition, Can be widely used in data analysis and forecast data, Iterative self-organizing data analysis.
ny452
- 包括最小二乘法、SVM、神经网络、1_k近邻法,isodata 迭代自组织的数据分析，DC-DC部分采用定功率单环控制。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Isodata iterative self-organizing data analysis, DC-DC power single-part set-loop control.
ting_pf18
- isodata 迭代自组织的数据分析，BP神经网络用于函数拟合与模式识别，仿真效率很高的。- Isodata iterative self-organizing data analysis, BP neural network function fitting and pattern recognition, High simulation efficiency.
xqpvj
- 有井曲线作为输入可计算其地震波的衰减,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。- There is a well attenuation curve as input to calculate its seismic waves, Iterative self-organizing data analysis, BP neural network function fitting and pattern recognition.
2281
- 用于特征降维，特征融合，相关分析等,用MATLAB实现动态聚类或迭代自组织数据分析，BP神经网络的整个训练过程。- For feature reduction, feature fusion, correlation analysis, Us
fm080
- isodata 迭代自组织的数据分析，采用加权网络中节点强度和权重都是幂率分布的模型，鲁棒性好，性能优越。- Isodata iterative self-organizing data analysis, Using weighted model nodes in the network strength and weight are power law distribution, Robustness, superior performance.
rt405
- 现代信号处理中谱估计在matlab中的使用，迭代自组织数据分析，基于人工神经网络的常用数字信号调制。- Modern signal processing used in the spectral estimation in matlab, Iterative self-organizing data analysis, The commonly used digital signal modulation based on artificial neural network.