搜索资源列表
nerual_hanshu
- 函数逼近,需要改变您的函数,本文用的是非线性函数!-Function approximation, need to change your function, this paper is a nonlinear function! Ha ha
matlab_programs
- matlab 常用算法程序,例如插值,矩阵特征值计算,函数逼近等常用算法。-matlab algorithm used procedures, such as interpolation, eigenvalue computation, function approximation and other common algorithms.
matlab_programs
- matlab 常用算法程序,例如插值,函数逼近,矩阵特征值算法等常用程序。-commonly used algorithm matlab program, such as interpolation, function approximation, matrix eigenvalue algorithms commonly used procedures.
Qlearningcar
- Simulink 控制VR环境中的小车。小车有5个距离传感器,能够慢慢学会避开墙壁和障碍物。小车采用加强学习(Q learning),采用神经网络对Q函数逼近。由于使用了模拟退火,小车在开始的时候会经常撞击障碍物,10次后基本就不会再撞了。 小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。-VR environment Simulink control car. There are 5 car distance sensor, can gradually le
chap5
- 一维函数逼近仿真和二维函数逼近仿真 matlab程序-Simulation of one-dimensional function approximation and two-dimensional function approximation process simulation matlab
bp
- 用MATLAB编写的BP算法在函数逼近中的应用。-BP algorithm using MATLAB written application in function approximation.
shenjingwangluoxuexi
- 基于径向基RBF网络的函数逼近,通过在MATLAB环境下的编程、仿真,实现了对周期性函数的逼近-RBF network based on radial basis function approximation, by the MATLAB environment, programming, simulation, realization of the approximation of periodic functions
bp_0610
- 这是一个利用前向反馈网络,即BP网络进行一个二输入一输出的函数逼近的仿真,希望能对大家有用-This is a use of the former to the feedback network, that is, a BP network is a function of two input-output simulation approach, hoping it would be useful
mat121
- 用工具箱实现正弦函数的逼近,BP逼近与RBF的逼近
CMAC
- 小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络,此列例举了用于非线性函数逼近-CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation
618F
- 黄金分割法617 数学常用 函数逼近 建模运用 -Golden Section 617, the use of mathematical modeling commonly used approximation
approximationmethod
- 该程序基于VB语言实现函数逼近法求极点,结果保存在access数据库中-The program based on VB language function approximation method , the results are saved in access databases
chazhifa
- 数值计算方法中计算插值法计算程序,可用来函数逼近数据处理-Numerical method to calculate the interpolation calculation program, data processing can be used to function approximation
hanshubijin
- 利用matlab对常用算法的函数逼近这一类型进行计算-Using matlab to the commonly used algorithms to calculate this type of function approximation
svm_wenxian
- 支持向量机是一种新颖的机器学习方法,主要用于模式识别、回归预测、函数逼近、参数估计。相比于其他的学习方法,支持向量机不仅克服了非线性,局部极小和维数灾难问题,而且具有更好的泛化能力。-Support vector machine is a novel machine learning method, mainly for pattern recognition, regression, function approximation, parameter estimation. Compared
RombergTest2
- 函数逼近与曲线拟合,包含梯形公式、Simpson公式、Romberg公式。-Function approximation and curve fitting, including trapezoidal, Simpson formula, Romberg formula.
Function-approximation
- 函数逼近的MATLAB程序,本程序设计一个两层的bp网络用于函数逼近,隐层的激活函数为 tansig,输出层激活函数为purelin线性函数 -Function approximation of the MATLAB program, the program design of a two-tier network for function approximation bp, hidden layer activation function is tansig, the output la
Qlearningcar
- Simulink 控制VR环境中的小车。小车有5个距离传感器,能够慢慢学会避开墙壁和障碍物。小车采用加强学习(Q learning),采用神经网络对Q函数逼近。由于使用了模拟退火,小车在开始的时候会经常撞击障碍物,10次后基本就不会再撞了。 -VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car us
PID-self-tuning-of-parameters
- 本文把神经网络技术应用在PID控制中,充分利用神经网络具有非线性函数逼近能力构造神经网络PID自整定控制器。-This paper, the neural network technology used in PID control, the full use of neural network structure with nonlinear function approximation capability PID self-tuning neural network controller.
radial-basis-function-network
- 用于函数逼近的径向基逼近和差值,是一个基础函数,包括高斯及二项式两种,可拓展到多个应用领域-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subcla