GEMM-eMFIS (FRI/E) : a novel general episodic memory mechanism for fuzzy neural networks
One of the hardest challenges for machine learning models in finance, medicine, engineering, and science is to make real-time predictions during periods of sudden and large changes in the data from a steady state, known as transient behavior. An example is that a stock’s price can suddenly come cras...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/76895 |