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Neuro-fuzzy system based on fuzzy truth value

Communications in Computer and Information Science (2018) 934 91-101
DOI: 10.1007/978-3-030-00617-4_9
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Abstract

The paper introduces neuro-fuzzy systems with inference based on fuzzy truth value and learning by means of evolution strategy (μ, λ). Paper also represents results of benchmarking, which is approximation of a functional dependency using described neuro-fuzzy system and its quality assessment.

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Sinuk, V. G., & Kulabukhov, S. V. (2018). Neuro-fuzzy system based on fuzzy truth value. In Communications in Computer and Information Science (Vol. 934, pp. 91–101). Springer Verlag. https://doi.org/10.1007/978-3-030-00617-4_9

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