文件名称:ELM
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In theory, this algorithm tends to provide good generalization performance at extremely fast learning
speed.-The experimental results based on a few artificial and real benchmark function approximation and classification problems
including very large complex applications show that the new algorithm can produce good generalization performance in most cases and
can learn thousands of times faster than conventional popular learning algorithms for feedforward neural networks
speed.-The experimental results based on a few artificial and real benchmark function approximation and classification problems
including very large complex applications show that the new algorithm can produce good generalization performance in most cases and
can learn thousands of times faster than conventional popular learning algorithms for feedforward neural networks
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ELM
...\Extreme learning machine Theory and applications.pdf
...\URL.doc
...\elm_kernel.asv
...\elm_kernel.m
...\elm_train_predict
...\.................\elm_predict.m
...\.................\elm_train.asv
...\.................\elm_train.m
...\.................\sinc_test
...\.................\sinc_train
...\segment1.dat
...\segment_data.m
...\segment_mean.m
...\segment_test
...\segment_train
...\sinc.m
...\sinc_mean.m
...\sinc_test
...\sinc_train