Extreme learning machine is by Huang guangbin 2005 as a new single hidden layer feedforward neural network is presented. And with neural network (NN) with the same global approximation properties, and learning its parameters without iteration and significantly faster than the existing neural networks. At present in lithology identification, lf end temperature soft measurement, punch guide disc speed measurement, soft measurement modeling, image recognition and so on some aspects of applications, but will be used for image segmentation is little used.

elm\ELM.m
...\elm_predict.m
...\elm_train.m
...\sinc-1.m
...\sinc-2.asv
...\sinc.m
...\sinc_mean.m
...\sinc_test1
...\sinc_train1
elm
...\ds_elm_predict2.asv
...\ds_elm_predict2.m
...\dt2.asv
...\dt2.m
...\ELM2-dt.asv
...\ELM2.asv
...\ELM2.m
...\ELM2_dt.m
...\elm_predict2.asv
...\elm_predict2.m
...\elm_train2.m
...\sinc_mean2.asv
...\sinc_mean2.m
...\sinc_test
...\sinc_train

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