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Input vectors for filters can be\nconstructed manually or with the assistance of included functions.\nSo far it is possible to use following filters:\n\n- LMS (least-mean-squares) adaptive filter\n\n- NLMS (normalized least-mean-squares) adaptive filter\n\n- LMF (least-mean-fourth) adaptive filter\n\n- NLMF (normalized least-mean-fourth) adaptive filter\n\n- SSLMS (sign-sign least-mean-squares) adaptive filter\n\n- NSSLMS (normalized sign-sign least-mean-squares) adaptive filter\n\n- RLS (recursive-least-squares) adaptive filter\n\n- GNGD (generalized normalized gradient descent) adaptive filter\n\n- AP (affine projection) adaptive filter\n\n\n******************\nNeural Networks\n******************\n\nSo far it is implemented only MLP neural network.\n\n******************\nDetection Tools\n******************\n\nThe library features two novelty/outlier detection tools\n\n- Error and Learning Based Novelty Detection (ELBND)\n\n- Learning Entropy (LE)\n\n\n\n", "description_content_type": 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