Roman Poshtar / Profil
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Roman Poshtar
Produits publiés
Majors Perceptron Distance works on a perceptron recruitment algorithm. The selection and construction of features for training are described in detail in my articles, which you can read below: Experiments with neural networks (Part 1): Revisiting geometry https://www.mql5.com/en/articles/11077 Experiments with neural networks (Part 2): Smart neural network optimization https://www.mql5.com/en/articles/11186 Experiments with neural networks (Part 3): Practical application
Roman Poshtar
Советник CatBoost Angle MA 3 ST V1 обновлен до версии в 1.2
https://www.mql5.com/ru/market/product/118772
https://www.mql5.com/ru/market/product/118772
Roman Poshtar
EA CatBoost Angle MA 3 ST V1 has been updated to version 1.2
https://www.mql5.com/ru/market/product/118772
https://www.mql5.com/ru/market/product/118772
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