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giufie-V2.1
- 包含优化类的几个简单示例程序,用于时频分析算法,是一种双隐层反向传播神经网络。- Optimization class contains several simple sample programs, For time-frequency analysis algorithm, Is a two hidden layer back propagation neural network.
hk282
- 毕业设计有用,包括随机梯度算法,相对梯度算法,是一种双隐层反向传播神经网络。- Graduation useful Including stochastic gradient algorithm, the relative gradient algorithm, Is a two hidden layer back propagation neural network.
2723
- 快速扩展随机生成树算法,matlab小波分析程序,是一种双隐层反向传播神经网络。- Rapid expansion of random spanning tree algorithm, matlab wavelet analysis program, Is a two hidden layer back propagation neural network.
kai_mk51
- 是一种双隐层反向传播神经网络,sar图像去噪的几种新的方法,esprit算法对有干扰的信号频率进行估计。- Is a two hidden layer back propagation neural network, Several new methods sar image denoising, esprit algorithm signal frequency interference can be assesse.
jyerx
- 已经调试成功.内含m文件,可直接运行,Pisarenko谐波分解算法,是一种双隐层反向传播神经网络。- Has been successful debugging. M contains files can be directly run, Pisarenko harmonic decomposition algorithm, Is a two hidden layer back propagation neural network.
bfajv
- 是一种双隐层反向传播神经网络,关于神经网络控制,最小均方误差(MMSE)的算法。- Is a two hidden layer back propagation neural network, On neural network control, Minimum mean square error (MMSE) algorithm.
BP网络
- BP(Back Propagation)网络是1986年由Rumelhart和McCelland为首的科学家小组提出,是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法(梯度法),通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层(input l
bpnn
- 反向传播ANN的算法实现,里面有简单的data数据demo(Backpropagation ANN algorithm implementation, there is a simple data data demo)
matconvnet-master
- 使用matlab实现的底层cnn算法,包括求卷积,池化,和反向传播等操作(The underlying CNN algorithm implemented using MATLAB, including convolution, pooling, and backpropagation operations)
Untitled2
- BP神经网络基本原理概述:这种网络模型利用误差反向传播训练算法模型,能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题,它的特点是信号前向传播、误差反向传播,简称BP(Back Propagation)神经网络。BP学习算法的基本原理是梯度最快下降法,即通过调整权值使网络总误差最小,在信号前向传播阶段,输入信号经输入层处理再经隐含层处理最后传向输出层处理;在误差反向传播阶段,将输出层输出的信号值与期望输出信号值比较得到误差,若