搜索资源列表
elman
- 基于Elman神经网络的预测程序,可用于电力系统短期负荷预测 -Elman neural network-based forecasting process, can be used for short-term load forecasting of power system
bpelmanrbfgrnn
- 可用于bp,elman,rbf,grnn四种神经网络的预测命令-Can be used for bp, elman, rbf, grnn four types of neural network prediction order
Linearnetworkprediction
- 自适应预测,神经网络预测,可以实现非线性预测,MATLAB环境实现。-Adaptive predictive
LPc
- 线性预测编码器,基于线性预测模型的语音编码器。-Linear predictive coding, and models based on linear prediction voice coder.
Cforspeech
- :用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技 术——隐马尔可夫模型(HMM)技术,以及线性预测倒谱计算和矢量量化技术. 命令(单词)的正确识别率 在97 以上. 介绍了声音模块的设计方案,并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound modul
ORBFNN
- 高性能的RBFNN,可以用于回归,拟合和预测控制。-High-performance RBFNN, can be used to return control of fitting and forecasting.
control1
- svm用于预测控制,建立了各种智能控制模型,很有用的论文。-svm for predictive control, the establishment of a variety of intelligent control model, the paper useful.
jiyushilianglianghuadeshuohrshibe
- 基于矢量量化的说话人识别本文从语音信号的预处理开始分析, 主要研究了特征参数的选择、提取、及识别算法,应用全极点模型,提取了语 音信号的线性预测倒谱系数和美尔倒谱系数,并进一步获得其一阶差分,将倒 谱系数与其一阶差分结合在一起形成新的特征参数。在识别算法方面,本文对 矢量量化的方法进行了研究,用Matlab语言实现了说话人识别系统的仿真与验 证。实验证明这种参数与单纯的线性预测倒谱系数和美尔倒谱系数相比更为有 效。- speech paper,help you study
invariants
- 有用的几个动力学物理量。包括自相关函数(acorr.m),复杂度(complexity.m),最近邻点(fnn.m),局部非线性预测误差(nlpe.m,Shannon复杂度(Shannon.m),嵌入窗估计(window.m)-Several dynamic invariants and measures that may be useful. Included are algorithms for autocorrelation (acorr.m), complexity (complexit
00
- 用遗传算法和神经网络混合算法预测电力短期负荷预测,是遗传算法的典型应用-Using genetic algorithm and neural network hybrid algorithm to forecast the electricity short-term load forecasting is a typical application of genetic algorithms
yucebianma
- 对一幅图象进行无损一阶预测编码,采用前值预测-Non-destructive image of a first-order predictive coding, using the former value of the forecast
PreCoding
- 用windows实现预测编码,又控件可以实现的。可以运行。-Predictive coding with windows to achieve and control can be realized. Can run.
Gray_Model(MATLAB)
- 一种简单的灰色预测实现的方法,data为需要输入的一维数组,N为需要预测的值的个数-Gm(1,1) matlab code ,input array data,input number N return array with N prediction value.
lpc
- lpc线性预测编码,合成与分析,在matlab中实现-lpc
kalman
- 图像处理中,利用kalman滤波器预测目标位置-kalman prediction
road_yunliang
- 公路客运量 BP网络预测.现有某省1978~2002年的客运量数据,预测出2003年、2004年的客运量.-Highway passenger traffic volume prediction BP network. Existing province from 1978 to 2002, passenger traffic data, predicted in 2003, passenger traffic in 2004.
huise
- 灰色gm(1,1)模型 数据由txt文档调入 包括残差以及精度 可以预测多个数值-Gray gm (1,1) model data transferred from the txt file, including residuals, as well as a number of numerical accuracy can be predicted
rlsxianxingyuce
- 用最小二乘法进行预测控制的程序,大家可以用来参考下。-Least square method to predict the control procedures, we can be used to refer to the following.
g729
- G.729算法采用“共轭结构代数码本激励线性预测编码方案”(CS-ACELP)算法。这种算法综合了波形编码和参数编码的优点,以自适应预测编码技术为基础,采用了矢量量化、合成分析和感觉加权等技术。-G.729 algorithm " Conjugate Structure Algebraic Code Excited Linear Prediction of the coding scheme" (CS-ACELP) algorithm. This algorithm combi
ImageCoding
- 图像压缩编码从本质上来说就是对要处理的图像源数据用一定的规则进行变换和组合,从而达到以尽可能少的代码来表示尽可能多的数据信息的目的.下面是图像压缩编码的源程序(shannon-fano编码)/(算术编码)/(位平面编码)/(预测编码)-Image compression coding is essentially to deal with the image of the source data used to change certain rules and combinations, so