Публікація:
An Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reduction

dc.contributor.authorMousavi, Seyed Muhammad Hossein
dc.contributor.authorMiriNezhad, S. Younes
dc.contributor.authorLyashenko, V.
dc.date.accessioned2020-05-18T12:47:06Z
dc.date.available2020-05-18T12:47:06Z
dc.date.issued2017
dc.description.abstractDue to the growth of divorce rate in developed and developing countries, and with the aim of reducing this phenomenon, an evolutionary-based Adaptive Neuro-Fuzzy Expert System as a family counselor before marriage is developed. The main goal is to combine evolutionary algorithms with fuzzy logic, and inferring nature inspired results for this kind of natural event (divorce). For validating results, a dataset from a human expert (marriage counselor) has been received, which described thoroughly in section IV in details. This dataset has been trained and tested with different Meta-heuristic optimization algorithms like (ACO, DE, PSO and GA) and neural network training methods like (Hybrid and back-propagation). Error factors like (MSE, RMSE, Error Mean and Error STD) will be calculate for each one of these approaches as validation results. Also, classification results with MLP algorithm, made this paper more detailed. Validation processes returned promising results and opened a way to use this kind of counselor expert system in the absence of human expert conditions. Dream to day which all the children grow up with their original parents.uk_UA
dc.identifier.citationMousavi S. M. H., MiriNezhad S. Y., Lyashenko V. An Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reduction // Conference: 2nd International Conference on Research Knowledge Base in Computer Engineering and IT, At Tehran-Iran. – 2017. – P. 1-10.uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/11745
dc.language.isoenuk_UA
dc.subjectEvolutionary Algorithmuk_UA
dc.subjectEvolutionary Learninguk_UA
dc.subjectFuzzyuk_UA
dc.subjectExpert Systemuk_UA
dc.titleAn Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reductionuk_UA
dc.typeConference proceedingsuk_UA
dspace.entity.typePublication

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