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chap5_6plant
- 利用线性化反馈方法，设计滑模控制器。利用这种技术，设计了一种自适应神经控制器。-The use of feedback linearization method, the design sliding mode controller. With this technology, design of an adaptive neural controller.
chengxu
- 最新的自适应小脑神经网络在滑膜变结构中的应用。-New adaptive neural network of small changes in the structure of synovial membrane.
my_ga
- Rudolph G. Convergence analysis of canonical genetic algorithms. IEEE Trans. On Neural Networks, 1994,5:96~101 [36] Rudolph G. Asymptotic convergence rates of simple evolutionary algorithms with Cauchy mutations. IEEE Transactions on Evoluti
05363793
- An Improved PSO Algorithm to Optimize BP Neural Network Abstract This paper presents a new BP neural network algorithm which is based on an improved particle swarm optimization (PSO) algorithm. The improved PSO (which is called IPSO) algori
FYP-Adaptive-Non-Linear-Excitation
- Adaptive and non linear Excitation control of synchronous generator’s stability through Neural Network
Adaptive-linear-element
- 掌握用Matlab人工神经网络工具箱设计自适应线性元件的方法，掌握人工神经网络学习和训练过程；理解误差曲面；分析比较自适应线性元件的不足。-Master with Matlab artificial neural network toolbox design adaptive linear element method, to master artificial neural network learning and training process understand the error
program
- 编写了一个pso优化bp神经网络的程序，应用在分类中。第一步：pso优化bp神经网络得到最优的阈值和权值，第二步bp神经网络把该最优的阈值和权值作为初始阈值和权值，采用动量及自适应学习速率算法进行训练。附件中，是数据和编写的部分程序，tiqushuju是用来提取文本中的数据构造样本集的函数。mubiao是用来构造期望输出的函数。bp是已经编写好的，未使用pso优化的bp神经网络函数。pso是本人编写的pso优化bp神经网络的函数，psobp是采用pso优化的阈值和权值作为bp神经网络的初始权值和
chap9_1
- 此程序为单神经元自适应控制的MATLAB程序，可供学习神经网络进行控制的初始阶段使用。-This program is MATLAB single neuron adaptive control for learning neural network used to control the initial stage.
ANFIS
- 自适应模糊神经网络模型,神经网络模块和模糊系统的融合-Adaptive fuzzy fusion neural network model, neural networks and fuzzy systems module
Adaptive-PID
- 单神经元自适应PID控制器，验证过很好用！-Single Neural Adaptive PID Controller
direct-method-for-robust-adaptive-control
- direct robust control of inverted pendulum using neural network-direct robust control of inverted pendulum using neural network
offline-signature-recognition
- As signatures are widely accepted bio-metric for authentication and identification of a person because every person has a distinct signature with its specific behavioral property, so it is very much necessary to prove the authenticity of signature
lms_jibendaima
- LMS算法可认为是机器学习里面最基本也比较有用的算法，神经网络中对参数的学习使用的就是LMS的思想，在通信信号处理领域LMS也非常常见，比如自适应滤波器。-LMS algorithm can be considered to be inside the machine learning the most basic and useful algorithms, neural network learning parameters used LMS is the idea, in the com
rbf_IP
- 基于RBF神经网络自适应控制的一级直线倒立摆仿真——simulink-linear inverted pendulum simulation based on the RBF neural network adaptive control
pei_v85
- 多目标跟踪的粒子滤波器，一些自适应信号处理的算法，基于人工神经网络的常用数字信号调制。- Multi-target tracking particle filter, Some adaptive signal processing algorithms, The commonly used digital signal modulation based on artificial neural network.
liefeiming
- BP神经网络的整个训练过程,一些自适应信号处理的算法，用MATLAB编写的遗传算法路径规划。- The entire training process BP neural network, Some adaptive signal processing algorithms, Genetic algorithms using MATLAB path planning.
机器人神经网络自适应控制
- 在Matalb中进行机器人控制仿真程序——机器人神经网络自适应控制(Robot neural network adaptive control in Matlab)
libsvm-3.17
- 为了真实有效地提取网络安全态势要素信息，提出了一种基于增强型概率神经网络的层次化框架态势要素获取方法。在该层次化态势要素获取框架中，根据Agent节点功能的不同，划分为不同的层次。利用主成分分析(Principal Component Analysis, PCA)对训练样本属性进行约简并对特殊属性编码融合处理，按照处理结果改进概率神经网络(Probabilistic Neural Network, PNN)结构，以降低系统复杂度。然后以改进的PNN作为基分类器，结合自适应增强算法，通过基分类器反
chap6
- 神经网络简单介绍，BP神经网络在线和离线辨识，RBF神经自适应控制。(Neural network is introduced simply, BP neural network is identified online and offline, and RBF neural adaptive control.)
EV
- 建立了电动汽车的电机模型，电池模型以及自适应巡航系统的ACC控制算法，采用神经网络控制对ACC系统控制器进行详细的设计(The motor model, battery model and ACC control algorithm of adaptive cruise system of electric vehicle are established. The controller of ACC system is designed in detail by using neural net