Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
RUSSIAN HOUSE PRICE PREDICTION USING A MULTILAYER PERCEPTRON
Form of presentationConference proceedings in Russian journals and collections
Year of publication2025
Языкрусский
  • Arabov Mullosharaf Kurbonovich, author
  • Bibliographic description in the original language Zitoune I. Russian house price prediction using a multilayer perceptron / I. Zitoune, M.K. Arabov // Prikladnaya matematika i informatika: sovremennye issledovaniya v oblasti estestvennykh i tekhnicheskikh nauk. Sbornik materialov XI Mezhdunarodnoy nauchno-prakticheskoy konferencii (shkoly-seminara) molodykh uchenykh. – Tolyatti, 24–25 aprelya 2025 g. – S. 388-392.
    Annotation ПРИКЛАДНАЯ МАТЕМАТИКА И ИНФОРМАТИКА: СОВРЕМЕННЫЕ ИССЛЕДОВАНИЯ В ОБЛАСТИ ЕСТЕСТВЕННЫХ И ТЕХНИЧЕСКИХ НАУК
    Keywords Russian real estate, house price prediction, multilayer perceptron, feedforward neural network, deep learning, data preprocessing, Adam optimizer, Mean Absolute Error (MAE), Mean Squared Error (MSE), linear regression, categorical encoding, feature standardization, property valuation, real estate data analysis, machine learning in economics
    The name of the journal ПРИКЛАДНАЯ МАТЕМАТИКА И ИНФОРМАТИКА: СОВРЕМЕННЫЕ ИССЛЕДОВАНИЯ В ОБЛАСТИ ЕСТЕСТВЕННЫХ И ТЕХНИЧЕСКИХ НАУК
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=321360&p_lang=2

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