Abstract | ||
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In the early 1990s, we thought neural networks would be commonplace soon and used everywhere. It took 30 years longer, but that point has now been reached. Neural networks can learn any function from complex and high-dimensional data sets, image or pattern recognition is solved, and probability theory serves as a sound mathematical basis for it all. Neural network -based solutions to supervised le... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/MRA.2020.2986567 | IEEE Robotics & Automation Magazine |
Keywords | DocType | Volume |
Machine learning,Artificial intelligence,Biological system modeling,Neural networks,Supervised learning | Journal | 27 |
Issue | ISSN | Citations |
2 | 1070-9932 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Patrick van der Smagt | 1 | 1 | 1.37 |