Sinusoidal Neural Networks: Towards ANN that Learns Faster
If everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data? This research is devoted to the development of Sinusoidal Neural Networks (SNNs). The motivation t...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2020-07-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/4047 |
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