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f90 module_parameter.f90

module module_parameter implicit none character(12) :: K_filename, M_filename, C_filename, IniD_filename, & IniV_filename, F_filename character(4) :: M_type, C_type, IniD_type
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www.eeworm.com/read/442577/7649318

m calculate_signal_parameter.m

function calculate_signal_parameter %计算额外的信号参数 global signal;%全局变量signal,在主函数中声明,是一个signal_structure类型的变量 %计算每个符号所包含的比特数 switch signal.modulation_type case 'BPSK' signal.bits_per
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www.eeworm.com/read/399996/7816845

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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www.eeworm.com/read/399817/7833071

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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www.eeworm.com/read/399817/7833081

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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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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www.eeworm.com/read/397099/8068874

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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www.eeworm.com/read/245941/12770948

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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www.eeworm.com/read/330850/12864975

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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www.eeworm.com/read/325515/13199029

cpp billiards_parameter_setup.cpp

// Billiards_Parameter_Setup.cpp : implementation file // #include "stdafx.h" #include "双星台球厅计时收费系统.h" #include "Billiards_Parameter_Setup.h" #include "双星台球厅计时收费系统View.h" #ifdef _DEBUG #d
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