资源列表
Linear-Regression
- 本算法通过简单的例子实现演示了线性回归的实现原理和流程。-The algorithm is realized by a simple example illustrates the linear regression principle and processes.
eg8-huoyunliangjiance
- 《MATLAB神经网络30个案例分析》中的第8个例子,案例8 GRNN的数据预测-基于广义回归神经网络货运量预测。希望对大家有一定的帮助!-The MATLAB neural network analysis of 30 cases of example, 8 cases of 8 GRNN data to predict- freight volume prediction based on generalized regression neural network. Hope to have
FS
- 模糊神经网络预测地基沉降量(神经网络实用教程中源码)-Fuzzy neural network prediction of foundation settlement [neural network practical tutorial source]
Genetic Algorithm Test
- 改进遗传算法程序-improved genetic algorithm program
yichuansuanfa
- 基于遗传算法的人工生命模拟,来个例子,大家好理解-Artificial life based on genetic algorithm simulation to an example, Hello everybody understand
SynergeticNeuralNetwork
- 协同神经网络的程序,每个函数里面都有相应的说明,理解协同神经网络的朋友应该很容易看懂,希望能对协同神经网络研究的朋友有所帮助
C_genetic
- 本例是本人写的遗传算法的最简单的一个实现,并且带有一个说明文档。用C语言编写,在TurborC中调试,由于当时在随机数产生上没有种种子,所以极易收敛,有兴趣可以种上种子试一下。-the cases I wrote is the most genetic algorithm to achieve a simple, and with a documented. C language, in which TurborC debugging, because the random number gen
hbanr
- 利用最小二乘法进行拟合多元非线性方程,分析了该信号的时域、频域、倒谱,循环谱等,重要参数的提取。- Multivariate least squares fitting method of nonlinear equations, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Extract important parameters.
fuzzyPID
- 自己做实验用的模糊PID控制simulink仿真程序,包括了模糊规则库和仿真文件-Experiment with the fuzzy PID control simulink simulation program, including a fuzzy rule base and simulation files
motor
- 直流电机的调速过程如下:本文研究的调速系统选择为经典的晶闸管——电动机转速闭环直流调速系统。由直流电机的实际转速与给定转速进行比较得到的偏差及偏差率送给模糊控制器,由模糊控制器计算出电机控制量,通过调节触发装置的控制电压u来移动触发脉冲的相位,即可改变电压。送给电机,实现电机的转速控制。 -DC motor speed control process is as follows: In this paper, the speed control system of choice for th
ImageEntropy1
- 这个例子主要用于计算一个图象的信息熵,当我们测量这个图象的紧密程度时约简在不确定增益.-This example of a main image used to calculate the information entropy, when we measured the extent of the image of the close of uncertainty when the gain reduction.
BPN
- 经典的BPN人工神经网络例子源码,C语言编制的,很好用
