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m demev3.m

%DEMEV3 Demonstrate Bayesian regression for the RBF. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by compu
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www.eeworm.com/read/415313/11076664

m demglm1.m

%DEMGLM1 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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www.eeworm.com/read/415313/11076727

m demglm2.m

%DEMGLM2 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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www.eeworm.com/read/413912/11137085

m demev1.m

%DEMEV1 Demonstrate Bayesian regression for the MLP. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by compu
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www.eeworm.com/read/413912/11137142

m demev3.m

%DEMEV3 Demonstrate Bayesian regression for the RBF. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by compu
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www.eeworm.com/read/413912/11137352

m demglm1.m

%DEMGLM1 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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www.eeworm.com/read/413912/11137439

m demglm2.m

%DEMGLM2 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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m input_file_64ele.m

% Input Data for Example Problem 8.1 (64 element mesh) % Material property k = 5; % thermal conductivity D = k*eye(2); % conductivity matrix % Mesh specifications nsd = 2; %
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m input_file_1ele.m

% Input Data for Example Problem 8.1 (1 element mesh) % material properties k = 5; % thermal conductivity D = k*eye(2); % conduction matrix % mesh specifications nsd = 2; %
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www.eeworm.com/read/413179/11163952

m input_file_16ele.m

% Input Data for Example Problem 8.1 (16 element mesh) % material property k = 5; % thermal conductivity D = k*eye(2); % conductivity matrix % mesh specifications nsd = 2;
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