文件名称:boost_neural_network
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结合boosting与神经网络方法相结合的分类方法，效果好，识别率高-Combining boosting and neural network approach for robust classification, effective with high recognition rate
相关搜索： boosting
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下载文件列表
boost_neural_network/13-oct-2002_1.mat
boost_neural_network/auroc.m
boost_neural_network/boost.m
boost_neural_network/dumproc.m
boost_neural_network/ensemble.m
boost_neural_network/errors.m
boost_neural_network/numtests.m
boost_neural_network/P450bskel.m
boost_neural_network/printroc.m
boost_neural_network/pseudoloss.m
boost_neural_network/randselect.m
boost_neural_network/simple.m
boost_neural_network/trainnet.m
boost_neural_network/update.m
boost_neural_network
boost_neural_network/auroc.m
boost_neural_network/boost.m
boost_neural_network/dumproc.m
boost_neural_network/ensemble.m
boost_neural_network/errors.m
boost_neural_network/numtests.m
boost_neural_network/P450bskel.m
boost_neural_network/printroc.m
boost_neural_network/pseudoloss.m
boost_neural_network/randselect.m
boost_neural_network/simple.m
boost_neural_network/trainnet.m
boost_neural_network/update.m
boost_neural_network
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