Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems
This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent models. The learning algorithm is based on ideas from Extreme Learning Machine [36], to achieve a low time complexity, and regularization theory...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Asociación Española para la Inteligencia Artificial
2018-11-01
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Series: | Inteligencia Artificial |
Subjects: | |
Online Access: | https://journal.iberamia.org/index.php/intartif/article/view/169 |