Construction of an analytical method for limiting the complexity of neural-fuzzy models with guaranteed accuracy
We have proposed an analytical method for limiting the complexity of neural-fuzzy models that provide for the guaranteed accuracy of their implementation when approximating functions with two or more derivatives. The method makes it possible to determine the required minimal number of parameters for...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PC Technology Center
2019-04-01
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| Series: | Eastern-European Journal of Enterprise Technologies |
| Subjects: | |
| Online Access: | http://journals.uran.ua/eejet/article/view/160719 |