代码搜索：optimisation

找到约 403 项符合「optimisation」的源代码

代码结果 403
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www.eeworm.com/read/140851/13058955

m demolgd1.m

%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampli
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www.eeworm.com/read/140850/13059610

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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www.eeworm.com/read/138798/13211959

m demolgd1.m

%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampli
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www.eeworm.com/read/128684/5980357

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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www.eeworm.com/read/483114/6609689

asv train.asv

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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www.eeworm.com/read/483114/6609693

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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www.eeworm.com/read/483114/6609761

asv train.asv

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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www.eeworm.com/read/483114/6609767

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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www.eeworm.com/read/128193/14311493

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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www.eeworm.com/read/222301/14697806

m train.m

function net = train(tutor, x, y, C, kernel, zeta, net) % TRAIN % % Train a support vector classification network, using the sequential minimal % optimisation algorithm. % % net = train(tut
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