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armfuzzy
- 有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器，控制效果不错。只有仿真模块，没有文字说明。-pulse interference with the interference of fuzzy manipulator control methods. Using neural network training, the T-S fuzzy controller, control effectiveness. Only Simulation Module, ther
kongming
- 神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点 ％中间层神经元的传递函数为 tansig ％输出层有8个节点，其神经元传递函数为logsig ％训练函数采用traingdx-neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle
xianxingnn
- 一个线性神经元网络程序，且记录了训练过程的，能看到网络训练的具体情况，以及权值的变化-a linear neural network program, which records the training process, which would see the specific network training, and the change of power
bp_train
- bp网络训练源代码,可用于参数识别,模式分类,如损伤识别,故障诊断等-bp network training, the source code can be used for parameter identification, pattern classification, such as damage detection, fault diagnosis, etc.
bp_test
- bp网络训练后的测试，读取已经训练好的bp网络，进行实际应用-bp network training after the test, reading the training has been good bp network for practical application
BPshenjinwangluo
- bp神经网络程序，一共有是个程序，其中有网络训练，举例应用-bp neural network program, a total of a process, including network training, for example the application of
11
- 给予神经网络训练的MATLAB 程序 有很大的用处 解说的非常详细-Given the MATLAB neural network training procedures have great usefulness of the very detailed explanation
pso
- PSO算法简单、易实现且参数较少，现已被应用于函数优化、神经网络训练、模糊系统控制以及其它遗传算法的应用领域-PSO algorithm is simple, easy to implement and less parameters, have been applied to function optimization, neural network training, fuzzy system control and other applications of genetic algorit
BP神经网络MATLAB实例
- BP神经网络的MATLAB简单实例以及神经网络算法BP网络的训练函数(MATLAB simple example of BP neural network)
神经网络
- 通过对matlab编程实现神经网络的训练和计算，得出需要的网络模型(Through the training and calculation of MATLAB programming neural network, the required network model is obtained)
BP神经网络程序
- 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。(It is a multilayer feedforward network trained by error backpropagation algorithm, and is one of the most widely used neural network models. BP networks can learn a
BP神经网络的非线性系统建模_非线性函数拟合
- BP神经网络构建根据拟合非线性函数特点确定BP神经网络结构，由于该非线性函数有两个输入参数，一个输出参数，所以BP神经网络结构为2—5—1，即输入层有2个节点，隐含层有5个节点，输出层有1个节点。 从非线性函数中随机得到2000组输入输出数据，从中随机选择1900组作为训练数据，用于网络训练，100组作为测试数据，用于测试网络的拟合性能。(Construction of BP neural network for nonlinear function fitting structure acc
BP神经网络的拓扑优化算法
- BP(back propagation)神经网络是1986年由Rumelhart和McClelland为首的科学家提出的概念，是一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络(BP neural network is a concept put forward by scientists from Rumelhart and McClelland in 1986. It is a multilayer feedforward neural network traine
BP神经网络
- BP(back propagation)神经网络是1986年由Rumelhart和McClelland为首的科学家提出的概念，是一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络。(BP (back propagation) neural network was founded in 1986 by Rumelhart and McClelland, led by the scientists put forward the concept of error backwa
Matlab实现神经网络
- 神经网络的简单数据训练的程序，通过训练数据生成符合数据的神经网路(A simple data training program for neural networks that generates neural networks that match data through training data.)
BP网络，信号，消噪
- 该程序可以用信号数据训练BP神经网络，进行消噪(The program can use signal data to train BP neural network for denoising.)
肌电BP
- matlab例程 bp神经网络训练算法(BP neural network training algorithm)
Matlabbp神经网络
- bp神经网络，可以用于预测与回归，效果比较好，注意训练次数(BP Neural network algorithm)
Deep Neural Network
- 深度神经网络训练过程中：首先是进行初始化，根据需求设置神经网络的基本结构；然后进行前向传递（feedforward），层与层之间进行传递，求得误差；然后进行反向传播（back propogation），根据误差最小化原则，使用随机梯度下降法，对各个参数进行求导，确定下降方向，对各个参数进行更新(In the training process of deep neural network, firstly, initialization is carried out, and the basic
神经网络及数据
- 使用神经网络预测销量，包括数据预处理、输入数据变换、神经网络训练及使用。包括数据集(Use neural network to forecast sales volume, including data preprocessing, input data transformation, neural network training and use)