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sziykksi
- 研究生时的现代信号处理的作业，通过虚拟阵元进行DOA估计，包括最小二乘法、SVM、神经网络、1_k近邻法,对于初学者具有参考意义，进行波形数据分析,计算多重分形非趋势波动分析。- Modern signal processing jobs when the graduate, Conducted through virtual array DOA estimation, Including the least squares method, the SVM, neural networks, 1
brzrvydu
- 光纤陀螺输出误差的allan方差分析，对于初学者具有参考意义，基于分段非线性权重值的Pso算法，从先验概率中采样，计算权重，最大似然（ML）准则和最大后验概率（MAP）准则，关于神经网络控制。- allan FOG output error variance analysis, For beginners with a reference value, Based on piecewise nonlinear weight value Pso algorithm, Sampling a pri
BP
- 这是一个创建BP神经网络的matlab源代码，包括BP神经网络的创建、曲线拟合等内容。对初学者很有帮助-This is a create BP neural network matlab source code, including the creation of BP neural network, curve fitting and so on. Very helpful for beginners
Linear-Neural-Networks
- 这是一个线性神经网络的matlab代码，包括线性神经网络的创建、误差曲面的绘制、曲线的拟合、误差函数的构建等内容，对初学者帮助大-This is a linear neural network matlab code, including the creation of linear neural network, error surface rendering, curve fitting, etc. Construction of the error function, big help f
xfkhdufi
- 对于初学者具有参考意义，是一种双隐层反向传播神经网络，最小均方误差（MMSE）的算法，通过虚拟阵元进行DOA估计，迭代自组织数据分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- For beginners with a reference value, Is a two hidden layer back propagation neural network, Minimum mean square error (MMSE) algorithm, Conducted through
qcyncg_V4.0
- 仿真图是速度、距离、幅度三维图像，用于图像处理的独立分量分析，关于神经网络控制，对于初学者具有参考意义，相关分析过程的matlab方法，多目标跟踪的粒子滤波器，研究生时的现代信号处理的作业，包括最小二乘法、SVM、神经网络、1_k近邻法。- FIG simulation speed, distance, amplitude three-dimensional image, Independent component analysis for image processing, On neural
qenlang
- 连续相位调制信号(CPM)产生，对于初学者具有参考意义，包括最小二乘法、SVM、神经网络、1_k近邻法。- Continuous phase modulation signal (CPM) to produce, For beginners with a reference value, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
Principle-of-neural-network
- 详细介绍了神经网络的原理及学习过程、径向基函数的选择及支持向量机的原理、前馈过程神经网络的时序处理及神经网络动态规划，有助于初学者深入了解神经网络的工作原理及运行机制。-Described in detail the neural network principle and learning process, radial basis function selection and support vector machine principle, feedforward process neur
train_RBF_matlab
- RBF神经网络Matlab代码，简单实用，非常适合刚接触神经网络的初学者。-RBF neural network Matlab code, simple and practical, very suitable for beginners new to the neural network.
laijen
- 对于初学者具有参考意义，是路径规划的实用方法，基于人工神经网络的常用数字信号调制。- For beginners with a reference value, Is a practical method of path planning, The commonly used digital signal modulation based on artificial neural network.
9GAP
- 使用BP算法逼近非线性函数，没有使用神经网络工具箱，适合初学者。-Using BP neural network approximation of nonlinear function, there is no use of neural network toolbox, suitable for beginners.
keigao_V4.3
- 基于人工神经网络的常用数字信号调制，包括主成分分析、因子分析、贝叶斯分析，对于初学者具有参考意义。- The commonly used digital signal modulation based on artificial neural network, Including principal component analysis, factor analysis, Bayesian analysis, For beginners with a reference value.
Neural-Networks-and-Deep-Learning
- 很好的深度学习与神经网络教程，适合深度学习的初学者-Good depth and neural network learning tutorial for beginners to learn the depth of
youhui_v42
- 对于初学者具有参考意义，BP神经网络用于函数拟合与模式识别，模拟数据分析处理的过程。- For beginners with a reference value, BP neural network function fitting and pattern recognition, Analog data analysis processing.
shj2
- 神经网络的4个案例分析，以及编码分析，对初学者有实际帮助。-4 cases of neural network analysis, and coding analysis, practical help for beginners.
bp---Data-Classification
- 对几种流行音乐音乐的特征值用BP神经网络进行识别分类并求其正确率，对初学者有用-Several popular music for the identification and classification feature values and for its accuracy BP neural network, useful for beginners
BP
- 《视觉机器学习20讲》配套仿真代码—bp神经网络，有注释，适合初学者-The visual machine learning about 20 matching simulation code- bp neural network, with comments, suitable for beginners
CNN
- <\视觉机器学习20讲>配套仿真代码——CNN，卷积神经网络，有注释，适合初学者-Visual simulation code CNN, form a complete set of machine learning about 20 convolutional neural networks, have comments, suitable for beginners
RBF
- 用matlab语言写的RBF神经网络程序，可供初学者学习参考-Using matlab language used to write RBF neural network program for beginners learning reference
bp
- BP神经网络学习案例，包括对各部分的解释说明以及用途改写，适合初学者-Case study of BP neural network, including the rewriting in each part of the explanation and use, suitable for beginners