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对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为： y(k)=a1*y(k-1)+a2*y(k-2)+b*u(k-1)+s(k) 式中，a1=0.3366,a2=0.6634,b=0.68,s(k)为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。采用正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个；由于神经网络的最大输出为1，因此在辨识前应对原系统参考模
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random neural network
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java 实现的神经网络 解决4色问题 含有随机数生成初始partten-java realization of neural network to solve the issue of 4-color contains random number generator initial partten
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在一个随机的迷宫里，小白鼠如何能最快地从起点走到终点。可采用科学的神经网络或遗传算法来实现，也可以采用基本的办法：每条路都试探。-At a random maze, the mouse, how can the fastest from the starting point of an end. Neural network can be scientific or genetic algorithm to achieve, but also the basic approach can be
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【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦M
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light training the neural network by using random. implementation in C-light training the neural network by using random. implementation in C + +
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以实际所测随机中子脉冲数据的自相关函数为研究对象，借助仿真实验，开展Elman神经网络对不同浓度核材料进行识别的研究。在实测数据的基础上，通过叠加随机噪声，模拟产生了不同浓度核材料的相关函数样本用于神经网络的训练与测试，实验结果表明，-Calculating the stochastic neutron pulse autocorrelation function with the actually measured data as the research object, we carry o
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this code is about mlp 1 layer neural network with back propagation training algorithm by using geradient descence for nonlinear system. input data are random.-this code is about mlp 1 layer neural network with back propagation training algorithm by
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随机神经网络方面的列子以及应用到TSP问题上的实验-Examples of the application to the TSP problem of experiments on random neural network
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Random Neural networks for cognitive radio network modelling. training and uation
of the random neural network. main file, connection file, and net file. The parameters of the network will be saved to the weight file-Random Neural networks for cogn
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雅克比迭代求解线性方程组课设,随机调制信号下的模拟ppm，BP神经网络的整个训练过程。- Jacobi iteration for solving linear equations class-based, Random ppm modulated analog signal under The entire training process BP neural network.
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基于人工神经网络的常用数字信号调制，快速扩展随机生成树算法，采用波束成形技术的BER计算。- The commonly used digital signal modulation based on artificial neural network, Rapid expansion of random spanning tree algorithm, By applying the beam forming technology of BE.
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超限学习机：单隐层的前馈人工神经网络，特别之处在于训练权值的算法: 在单隐层的前馈神经网络中，输入层到隐藏层的权值根据某种分布随机赋予，当我们有了输入层到隐藏层的权值之后，可以根据最小二乘法得到隐藏层到输出层的权值-Overrun learning machine: feed-forward artificial neural network single hidden layer, is unique in that algorithm training weights: Before a s
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BP神经网络的整个训练过程,随机调制信号下的模拟ppm，多姿态，多角度，有不同光照。- The entire training process BP neural network, Random ppm modulated analog signal under Much posture, multi-angle, have different light.
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BP神经网络用于函数拟合与模式识别，快速扩展随机生成树算法，对于初学matlab的同学会有帮助。- BP neural network function fitting and pattern recognition, Rapid expansion of random spanning tree algorithm, Matlab for beginner students will help.
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均值便宜跟踪的示例，随机调制信号下的模拟ppm，BP神经网络用于函数拟合与模式识别。- Example tracking mean cheap, Random ppm modulated analog signal under BP neural network function fitting and pattern recognition.
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对具有随机噪声的二阶系统的模型辨识(用改进的神经网络MBP算法辨识,(For the second order system with random noise model identification (with the modified MBP neural network algorithm of identification,)
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本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
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该程序用BP神经网络解决XOR问题，其中设置了恒定权值、阈值和随机权值、阈值；并且将梯度下降法进行添加记忆一项来改进。(Using BP neural network to solve XOR problem, the program which set up a constant weight and threshold and random weight and threshold value;And the gradient descent method to add a to impro
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Arrival process is a Poisson process, Random ppm modulated analog signal under On neural network control.
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