-
bppb
我编写bppb的神经网络应用程序,第一次上传(of neural network applications, the first upload)
- 2006-06-20 18:51:14下载
- 积分:1
-
chap2_08_RELS
最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法(LS)
- 2010-08-29 11:32:09下载
- 积分:1
-
shannon
信息论与编码的典型香农编码的Matlab源码(Typical information theory and coding Matlab source code Shannon)
- 2010-11-29 22:53:59下载
- 积分:1
-
fm
说明: 信号调幅,对于输入的正弦信号进行模拟幅度调制、传输、解调(Signal amplitude, the input analog signal is a sinusoidal amplitude modulation, transmission, demodulates)
- 2014-09-22 00:59:40下载
- 积分:1
-
improved-wavelet-packet--and-PNN
提出改进型的节点重构小波包频带能量谱与 PNN(概率神经网络)的联合故障诊断新方法。 有具体的数据和程序,经过本人验证的,程序有效!效果很好!(Joint fault diagnosis node propose a new method for the reconstruction of improved wavelet packet energy spectrum band and PNN (probabilistic neural network). Specific data and programs, after I verified, the program works! Works well!)
- 2015-01-08 11:38:27下载
- 积分:1
-
missing_pixels
to fill the missing pixel areas
- 2012-10-06 22:29:22下载
- 积分:1
-
Ekahau
Ekahau postioning engine user guide
- 2010-11-19 08:49:50下载
- 积分:1
-
example
说明: 该实例包含很多MATLAB经典实用源程序(The classic example of MATLAB contains many practical source)
- 2008-11-13 21:44:17下载
- 积分:1
-
Fractional-Splines-and-Wavelets
分数阶小波,文章加源代码,好用,也很全面,文章是pdf格式的。(Fractional Wavelet, articles plus source code, easy to use, very comprehensive article in pdf format.)
- 2012-09-09 22:03:47下载
- 积分:1
-
PSO
标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数
InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子,并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示:
表ParSwarm记录的是粒子的位置、速度与当前的适应度值,我们用W来表示位置,用V来代表速度,用F来代表当前的适应度值。在这里我们假设粒子个数为N,每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)
- 2015-01-09 18:40:08下载
- 积分:1