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v dw8051_parameter.v

// $Id: DW8051_core.v,v 1.1 1996/07/25 17:42:36 gina Exp $ //------------------------------------------------------------------------------ // // This confidential and proprietary software may
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www.eeworm.com/read/179943/9330006

hxx uint32parameter.hxx

#if !defined(RESIP_UINT32PARAMETER_HXX) #define RESIP_UINT32PARAMETER_HXX #include "resip/stack/ParameterTypeEnums.hxx" #include "resip/stack/Parameter.hxx" #include namespace resip { cla
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cxx uint32parameter.cxx

#if defined(HAVE_CONFIG_H) #include "resip/stack/config.hxx" #endif #include "resip/stack/UInt32Parameter.hxx" #include "resip/stack/Symbols.hxx" #include "rutil/ParseBuffer.hxx" #include "rutil/WinL
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m cal_parameter_back.m

function [WMI_Xin,WIJ_Xin,WJP_Xin,D_WMI,D_WIJ,D_WJP]=Cal_Parameter_Back(WMI_Yuan,WIJ_Yuan,WJP_Yuan,Chuan_Can,VI,VJ,y,X,T,D_WMI,D_WIJ,D_WJP) M=Chuan_Can(1);%输入点个数 I=Chuan_Can(2);%第I曾神经元个数 J=Chuan_Ca
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asv cal_parameter_back.asv

function [WMI_Xin,WIJ_Xin,WJP_Xin]=Cal_Parameter_Back(WMI_Yuan,WIJ_Yuan,WJP_Yuan,Chuan_Can,VI,VJ,y,X,T) M=Chuan_Can(1);%输入点个数 I=Chuan_Can(2);%第I曾神经元个数 J=Chuan_Can(3);%第J层神经元个数 P=Chuan_Can(4);%输出点个
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www.eeworm.com/read/177310/9459664

m cal_parameter_forward.m

function [VI,VJ,y]=Cal_Parameter_Forward(WMI,WIJ,WJP,X,Chuan_Can) %X=[-0.7 -0.6 -0.5 -0.4 -0.3]; M=Chuan_Can(1);%输入点个数 I=Chuan_Can(2);%第I曾神经元个数 J=Chuan_Can(3);%第J层神经元个数 P=Chuan_Can(4);%输出点个数
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m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_features, train_targets, sigma, region) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: %
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m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: % pattern
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m hough_parameter_space.m

clear all;close all; k=1;b=-1; x=0:3; y=k*x+b; figure(1) plot(x,y); hold on plot(x,y,'b*'); axis([0 3 0 2]); title('直角坐标系') xlabel('X坐标'); ylabel('Y坐标'); text(1,0,'点A(1,0)'); text(2,1,'点B
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www.eeworm.com/read/362008/10023907

m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: % pattern
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