Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

2017 · IEEE Transactions on Neural Networks and Learning Systems · 1,936 citations · 0 from inside this corpus

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

8 of 8 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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What this paper cites, inside the corpus

Paper	Year	Cited
Random Forests	2001	131,109
Reducing the Dimensionality of Data with Neural Networks	2006	21,247
A Fast Learning Algorithm for Deep Belief Nets	2006	16,540
Distributed Optimization and Statistical Learning via the Alternating Direction Method of…	2011	16,313
Pattern Recognition and Machine Learning	2007	8,431
Pattern Recognition and Machine Learning (Information Science and Statistics)	2006	8,359
Identification and control of dynamical systems using neural networks	1990	8,037
Extreme Learning Machine for Multilayer Perceptron	2015	1,475

Links

DOI · OpenAlex record

Topics

Machine Learning and ELM	Computer Science
Domain Adaptation and Few-Shot Learning	Computer Science
Face and Expression Recognition	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports2 author record(s) attached.
supports66 reference(s) recorded.
supportsThe DOI's year agrees with the publication year.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…