资源列表
c45
- 决策树算法c4.5 C语言实现以及命名规则和构建工具开发集合-C4.5 decision tree algorithm C language, naming and build tools set
Regression_SVM_SteveGunn
- 基于SVM的分类器 支持两类分类 和多类分类 选择最优参数-Select the optimal parameters of the classifier based on SVM supports two types of classification and multi-class classification
Regression_LS_SVMlab
- 基于SVM的分类器 支持两类分类 和多类分类 选择最优参数-Select the optimal parameters of the classifier based on SVM supports two types of classification and multi-class classification
Classification_SVM_SteveGunn
- 基于SVM的分类器 支持两类分类 和多类分类 选择最优参数 -Select the optimal parameters of the classifier based on SVM supports two types of classification and multi-class classification
Classification_OSU_SVM
- 基于SVM的分类器 支持两类分类 和多类分类-SVM-based classifier supports two types of classification and multi-class classification
Classification_LS_SVMlab
- 基于SVM的分类器 支持两类分类 和多类分类选择最优参数-SVM-based classifier supports two types of classification and multi-class classification
FUZZY_PID
- 模糊PID控制的阶跃响应，并与PID控制进行对比，验证了模糊PID控制的有效性。-The step response of fuzzy PID control, and compared with PID control, verify the effectiveness of the fuzzy PID control.
exp_pid
- 专家pid控制的阶跃响应，能够很好的跟踪输入信号。具有良好的性能指标。-step response of Expert pid control , and can be very good to track the input signal.With good performance。
BP_PID
- 神经网络PID控制的阶跃响应，能够准确跟踪输入信号，各项指标满足要求。-the step response of Neural network PID control,Can accurately track the input signal, the indicators meet the requirements.
DBN
- 里面有DBN的源码，可以根据需要修改相应的参数-Deep Belief Network
lms
- 基于LMS算法的自适应回波抵消系统。 可应用与无线直放站回波抵消算法，改善25DB。 也应用与噪声抵消系统。-base on lms arithmetic A Radio Repeater Interference Cancellation Model for MobileCommunication Systems
chapt
- 基于RBF网络的动态面自适应控制，以飞行器航迹角自适应神经网络动态面为例进行了讲解。-Adaptive dynamic surface control based on RBF network, with the flight path angle neural network based adaptive dynamic surface as an example to explain.