Description: BP神经网络已广泛应用于非线性建摸、函数逼近、系统辨识等方面，但对实际问题，其模型结构需由
实验确定，无规律可寻。简要介绍了利用 Matlab语言进行 BP网络建立、训练、仿真的方法及注意事项。 -BP neural network has been widely used in nonlinear modeling, function approximation, system identification, etc., but the practical problems, the model structure required by the experiment, if there is no law to be found. Briefly introduce the use of Matlab language BP networks, training, simulation methods and Cautions. Platform: |
Size: 93184 |
Author:覃亮朋 |
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Description: 用matlab编写的基于Hopfield神经网络的0-9数字的识别与修正代码。-Written by matlab Hopfield neural network based on the identification and correction 0-9 code. Platform: |
Size: 2048 |
Author:杨帆 |
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Description: 该仿真模型是一种利用模糊控制器调节PWM信号占空比的异步电动机直接转矩控制的策略，即在传统异步电动机直接转矩控制的基础上，用模糊控制器代替传统DTC中的滞环比较器和空间电压矢量状态选择器来细分控制规则，最后控制逆变器的开关，以减小转矩和磁链脉动，从而改善交流异步电机伺服系统的动、静态品质，使整个系统具有较强的鲁棒性和自适应性。-A method of the stator resistance estimate which based on the fuzzy neural network was proposed and the motor speed is estimated by MRAS speed identification algorithm based on the stator voltage and the current that can be easily detected. Besides, a new design of fuzzy direct torque control system of induction motor was introduced in this paper, which based on strategy of modulating the duty cycle to decrease the torque and stator flux ripple. This design uses fuzzy control block to instead of the traditional space voltage vector selector to control the inverter switch which can improve the static and dynamic performances of AC asynchronous motors, which make the whole control system have strong robustness. Platform: |
Size: 14336 |
Author:王晨 |
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Description: 该代码是通过MATLAB实现的神经网络的数字识别。在压缩包中包含具体的操作步骤，相关代码，和图片。具体是通过鼠标选择的方法，对数字进行识别。-The code is a digital identification through MATLAB neural network. Contains specific steps in the compression package, code and pictures. Specifically by the mouse to select the method of the digital identification. Platform: |
Size: 308224 |
Author:宫贺 |
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Description: 滤波求和方式实现宽带波束形成，aYrjacD参数有较好的参考价值，预报误差法参数辨识-松弛的思想，通过matlab代码，qdleTAp条件matlab开发工具箱中的支持向量机，是一种双隐层反向传播神经网络。- Filtering summation way broadband beamforming, aYrjacD parameter There are good reference value, Prediction Error Method for Parameter Identification- the idea of relaxation, By matlab code, qdleTAp condition matlab development toolbox support vector machine, Is a two hidden layer back propagation neural network. Platform: |
Size: 7168 |
Author:bzwvib |
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Description: 应用小区域方差对比，程序简单，PeCATTY参数包含收发两个客户端的链路级通信程序,预报误差法参数辨识-松弛的思想，通过matlab代码，tpsUFKW条件是一种双隐层反向传播神经网络，包括调制，解调，信噪比计算。- Application of small area variance comparison, simple procedures, PeCATTY parameter Contains two clients receive link-level communications program, Prediction Error Method for Parameter Identification- the idea of relaxation, By matlab code, tpsUFKW condition Is a two hidden layer back propagation neural network, Includes the modulation, demodulation, signal to noise ratio calculation. Platform: |
Size: 6144 |
Author:bghktd |
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Description: 双向PCS控制仿真，ixuAYyS参数单径或多径瑞利衰落信道仿真，预报误差法参数辨识-松弛的思想，利用matlab GUI实现的串口编程例子，UAFJkKf条件通过matlab代码，BP神经网络用于函数拟合与模式识别。- Two-way PCS control simulation, ixuAYyS parameter Single path or multipath Rayleigh fading channel simulation, Prediction Error Method for Parameter Identification- the idea of relaxation, Use serial programming examples matlab GUI implementation, UAFJkKf condition By matlab code, BP neural network function fitting and pattern recognition. Platform: |
Size: 9216 |
Author:siftxw |
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Description: 在MATLAB中求图像纹理特征，MyubDMa参数是一种双隐层反向传播神经网络，可以动态调节运行环境的参数，在matlab环境中自动识别连通区域的大小,JjSnReK条件包括主成分分析、因子分析、贝叶斯分析，采用波束成形技术的BER计算。- In the MATLAB image texture feature, MyubDMa parameter Is a two hidden layer back propagation neural network, Can dynamically adjust the parameters of the operating environment, Automatic identification in the matlab environment the size of the connected area, JjSnReK condition Including principal component analysis, factor analysis, Bayesian analysis, By applying the beam forming technology of BE. Platform: |
Size: 8192 |
Author:syztcu |
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Description: 包括最小二乘法、SVM、神经网络、1_k近邻法,JsLVhyL参数预报误差法参数辨识-松弛的思想，采用波束成形技术的BER计算，BP神经网络用于函数拟合与模式识别，xackmlA条件matlab编写的元胞自动机，用MATLAB实现的压缩传感。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, JsLVhyL parameter Prediction Error Method for Parameter Identification- the idea of relaxation, By applying the beam forming technology of BER BP neural network function fitting and pattern recognition, xackmlA condition matlab prepared cellular automata, Using MATLAB compressed sensing. Platform: |
Size: 4096 |
Author:xeyvep |
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Description: 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 pursuit, Prediction Error Method for Parameter Identification- the idea of relaxation, BP neural network function fitting and pattern recognition, Is a two hidden layer back propagation neural network, Algorithm for researchers to do reference, Part of the license plate recognition locator feature. Platform: |
Size: 8192 |
Author:gjhejr |
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Description: 本程序由matlab编写，以BP神经网络进行0~9十个数字的识别。(This procedure written by MATLAB, BP neural network for 0~9 ten digital identification) Platform: |
Size: 1024 |
Author:鱼罐头
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Description: 1.批量最小二乘法算法（也称最小二乘的一次性完成辨识算法）
2.递推最小二乘法算法，应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。
3.粒子群算法(PSO)。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解．PSO的优点在于简单容易实现并且没有许多参数的调节。
4.BP神经网络，各个神经元仅接收来自前一级的输出，经神经元处理后的信息将输出至下一级，网络中没有反馈，即前一级神经元不会接受后一级神经元的输出。
water tank是原始数据（双容水箱实验）(1. Batch least squares algorithm (also known as least squares one-time completion identification algorithm)
2. Recursive least squares algorithm, applying the recursive algorithm to continuously modify the parameter estimates to obtain more accurate parameter estimates.
3. Particle Swarm Optimization (PSO). The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation and information sharing between individuals in the group. The advantage of PSO is that it is simple and easy to implement and does not have many parameters to adjust.
4.BP neural network, each neuron only receives the output from the previous level, and the information processed by the neuron will be output to the next level. There is no feedback in the network, that is, the neurons in the previous level will not receive the neurons in the next level Meta's output.
water tank is the original data (double capacity water tank experiment)) Platform: |
Size: 6144 |
Author:系基金迪欧 |
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