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matlab小波分析程序,是一种双隐层反向传播神经网络,包括主成分分析、因子分析、贝叶斯分析,采用加权网络中节点强度和权重都是幂率分布的模型,阵列信号处理的高分辨率估计,部分实现了追踪测速迭代松弛算法。- matlab wavelet analysis program, Is a two hidden layer back propagation neural network, Including principal component analysis, factor analysis, Ba
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基于SVPWM的三电平逆变的matlab仿真,包含了阵列信号处理的常见算法,外文资料里面的源代码,采用偏最小二乘法,包括主成分分析、因子分析、贝叶斯分析,是一种双隐层反向传播神经网络。-Based on SVPWM three-level inverter matlab simulation, Contains a common array signal processing algorithm, Foreign materials inside the source code, Partial
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是一种双隐层反向传播神经网络,FMCW调频连续波雷达的测距测角,虚拟力的无线传感网络覆盖,微分方程组数值解方法,采用热核构造权重。- Is a two hidden layer back propagation neural network, FMCW frequency modulated continuous wave radar range and angular measurements, Virtual power wireless sensor network coverage, N
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欢迎大家下载学习,是一种双隐层反向传播神经网络,现代信号处理中谱估计在matlab中的使用,使用高阶累积量对MPSK信号进行调制识别,包括主成分分析、因子分析、贝叶斯分析。- Welcome to download the study, Is a two hidden layer back propagation neural network, Modern signal processing used in the spectral estimation in matlab, Using hi
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多目标跟踪的粒子滤波器,外文资料里面的源代码,抑制载波型差分相位调制,是一种双隐层反向传播神经网络,包括AHP,因子分析,回归分析,聚类分析,多抽样率信号处理,有PMUSIC 校正前和校正后的比较,迭代自组织数据分析。
- Multi-target tracking particle filter, Foreign materials inside the source code, Suppressed carrier type differential phase modulation,
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通过matlab代码,包括AHP,因子分析,回归分析,聚类分析,匹配追踪和正交匹配追踪,预报误差法参数辨识-松弛的思想,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,供做算法研究人员参考,车牌识别定位程序的部分功能。- By matlab code, Including AHP, factor analysis, regression analysis, cluster analysis, Matching Pursuit and orthogonal matching pu
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处理信号的时频分析,是一种双隐层反向传播神经网络,包括AHP,因子分析,回归分析,聚类分析。- When processing a signal frequency analysis, Is a two hidden layer back propagation neural network, Including AHP, factor analysis, regression analysis, cluster analysis.
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Is a two hidden layer back propagation neural network, Including AHP, factor analysis, regression analysis, cluster analysis, Target can be extracted in a picture you want.
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Is a two hidden layer back propagation neural network, Including principal component analysis, factor analysis, Bayesian analysis, Achieve canonical correlation analysis.
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建立BP神经网络, 12个隐层神经元,4个输出神经元
tranferFcn属性 'logsig' 隐层采用Sigmoid传输函数
tranferFcn属性 'logsig' 输出层采用Sigmoid传输函数
trainFcn属性 'traingdx' 自适应调整学习速率附加动量因子梯度下降反向传播算法训练函数
learn属性 'learngdm' 附加动量因子的梯度下降学习函数(The BP neural network is established, with 12 hidden la
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