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[AI-NN-PRhopfild1

Description: Hopfield 网——擅长于联想记忆与解迷路 实现H网联想记忆的关键,是使被记忆的模式样本对应网络能量函数的极小值。 设有M个N维记忆模式,通过对网络N个神经元之间连接权 wij 和N个输出阈值θj的设计,使得: 这M个记忆模式所对应的网络状态正好是网络能量函数的M个极小值。 比较困难,目前还没有一个适应任意形式的记忆模式的有效、通用的设计方法。 H网的算法 1)学习模式——决定权重 想要记忆的模式,用-1和1的2值表示 模式:-1,-1,1,-1,1,1,... 一般表示: 则任意两个神经元j、i间的权重: wij=∑ap(i)ap(j),p=1…p; P:模式的总数 ap(s):第p个模式的第s个要素(-1或1) wij:第j个神经元与第i个神经元间的权重 i = j时,wij=0,即各神经元的输出不直接返回自身。 2)想起模式: 神经元输出值的初始化 想起时,一般是未知的输入。设xi(0)为未知模式的第i个要素(-1或1) 将xi(0)作为相对应的神经元的初始值,其中,0意味t=0。 反复部分:对各神经元,计算: xi (t+1) = f (∑wijxj(t)-θi), j=1…n, j≠i n—神经元总数 f()--Sgn() θi—神经元i发火阈值 反复进行,直到各个神经元的输出不再变化。-Hopfield network-- good at associative memory solution with the realization of lost H associative memory networks, are key to bringing the memory model samples corresponding network energy function of the minimum. With M-N-dimensional memory model, the network N neurons connect between right wij and N output threshold j design makes : M-mode memory corresponding to the network is a state network energy function is the M-000 minimum. More difficult, it is not an arbitrary form of adaptation memory model of effective, common design methods. H network algorithm 1) mode of learning-- decision weights want memory model, with 1 and 2 of the value of a model, said :-1, 1, 1, 1 ,1,1, ... in general : two were arbitrary neuron j i weights between : wij ap = (i) ap (j), p = 1 ... p; P : The tot
Platform: | Size: 11264 | Author: 韵子 | Hits:

[Speech/Voice recognition/combineendcheck

Description: 一个完整的语音端点检测MATLAB程序,包含有完整的文件,通过调试,正确可用-A complete voice activity detection MATLAB procedures, contains the complete document, through commissioning, can be used correctly
Platform: | Size: 357376 | Author: sujing | Hits:

[matlabCosta_sgn

Description: 用matlab程序仿真QPSK系统中调制、解调,懂得QPSK通信系统的真正内涵-QPSK simulation with matlab program system modulation, demodulation, QPSK communication system to understand the real meaning of
Platform: | Size: 2048 | Author: suzhenwei | Hits:

[matlab语音基频识别

Description: 男女生识别、文字端点检测 sgn.m是判断符号的函数 在使用GUI时输入的数字必须为英文状态下(搜狗输入法英文) 端点检测和基频计算是在GUI m文件转到GUI中,基本没什么变化,主要就是使用了全局变量。(Gender recognition and text endpoint detection SGN. M is a function of judging signs When using GUI, the input number must be in English Endpoint detection and fundamental frequency calculation are in GUI The m file is transferred to the GUI. Basically, there is no change. The main thing is to use global variables.)
Platform: | Size: 716800 | Author: jl12 | Hits:

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