搜索资源列表
SVDcode
- 利用一般最小二乘法和SVD-TLS方法 进行AR参数估计和正弦波频率估计 -use of general and the least-squares method SVD-TLS AR method parameter estimates and the estimated frequency sine wave
u01
- 正弦函数拟合，各种BP神经网络算法的应用。-sine function fitting, various BP neural network algorithm application.
fa2
- 神经网络模拟正弦函数演示-neural network simulation sine function demo
用M函数编写的神经网络PID算法的例程
- 用M函数编写的神经网络PID算法的例程，可实现对阶跃、正弦波的很好跟踪，没有超调。-Written by M function neural network PID algorithm routines, can be realized step, a good sine wave tracking, no overshoot.
bp
- 用bp算法拟合正弦曲线，并采集数据。其基本思想是梯度下降法。-Sine curve fitting algorithm with a bp, and collecting data. The basic idea is the gradient descent method.
ANN
- 实验使用BP神经网络来逼近一个较复杂的正弦函数，并观察BP神经网络的各个参数对BP神经网络的影响.-Experimental use of BP neural network to approximate a more complex sine function, and to observe the parameters of BP neural network on the impact of BP neural network.
mohu
- 模糊控制的源代码。例子是正弦波，已经通过调试。能正常使用-Fuzzy Control of the source code. Example is the sine wave has passed debugging. To normal use
sine
- 用遗传算法优化神经网络权值 最后实现逼近sin函数曲线-Neural network using genetic algorithm optimization to achieve the right of the value of the final function curve approximation sin
BP
- 本程序为基于matlab的BP神经网络应用实例——正弦函数拟合-Sine function fitting
bp
- 通过BP神经网络算法对一个正弦函数进行实验操作，并绘出实验结果图-BP neural network algorithm by a sine function of the experimental operation, and draw the map results
cmcc
- matlab下的，小脑神经网络例子，应用小脑神经网络，拟合正玄曲线。-matlab and down and little brain network example, application of small brain networks, fitting sine curve.
ray_doppler
- 代码使用正弦波叠加的方法产生一个简单瑞利衰落的信道。其幅度满足瑞利衰落，到达角在0到360度内均匀分布。-Code used to generate a sine wave superposition method is simple Rayleigh fading channel. Magnitude to meet the Rayleigh fading, angle of arrival in the 0 to 360 degrees evenly distributed.
sinfapm
- 采样正弦信号的振幅、频率、相位和均值，应用Z变换。-Amplitude, frequency, phase and mean value of sampled sine wave，take the application of Z-transform.
Sound-card-
- 声卡正弦波音频 正弦波 声卡 信号发生器 -Sine wave sine wave audio sound card signal generator
bppid
- 一种bp-pid调节器的算法实现，可进行对正弦或阶跃等信号的调节控制，并输出调节曲线，误差曲线，PID参数曲线等。 -A bp-pid regulator algorithm, can be sine or step on the regulation and control such signals, and the output tuning curves, the error curve, PID parameter curve.
cmac
- MATLAB语言作为编程工具构造CMAC神经网络，利用公式Wij(k+1)=Wij(k)+β(yid-yi)α/αTα对连接权系数Wij进行调整，用来对正弦函数sin（x）进行逼近-MATLAB programming language as a tool to construct CMAC neural network, using the formula Wij (k+1) = Wij (k)+ β (yid-yi) α/αTα the connection weights Wij to a
Function-approximation
- 应用神经网络来进行正弦函数的逼近，通过参数的调整，效果会有所变化-Neural network to approximate the sine function by parameter tuning, the effect will vary
bp
- 使用BP神经网络算法对一个函数实现跟踪（如正弦函数）-The BP neural network algorithm to achieve tracking of a function (such as the sine function)
bp
- 基于附加动量的神经网络，用它来模拟正弦函数-Additional momentum-based neural network, and use it to simulate a sine function
myai10
- 使用神经网络进行曲线拟合，这里使用了正玄曲线，拟合效果不错，由于源码小于1K，所以附赠几个其他神经网络的m文件-Use of neural networks for curve fitting, using the sine curve, fitting well