title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾ÑÑÐ¸ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¿ÑÑÐµÐ¼ Ð²Ð½ÐµÑÐµÐ½Ð¸Ñ Ð²Ð¾Ð·Ð¼ÑÑÐµÐ½Ð¸Ð¹ Ð² Ð¾Ð±ÑÑÐ°ÑÑÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Research of methods of increasing stability of machine learning models, by introducing disturbances into training data
Creators: name: ÐÐ¾ÑÐ¾Ð»ÐµÐ², ÐÑÑÐµÐ¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð²ÐµÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¿Ð¾Ð´Ð¿Ð¸ÑÐ¸
ÑÐ²ÐµÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
ÑÐ¸Ð°Ð¼ÑÐºÐ°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
signature verification
convolutional neural network
siamese neural network
artificial intelligence

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð²ÐµÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿Ð¾Ð´Ð¿Ð¸ÑÐ¸, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ²ÐµÐ»Ð¸ÑÐµÐ½Ð¸Ñ ÑÐ¾Ð±Ð°ÑÑÐ½Ð¾ÑÑÐ¸ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¿ÑÑÐµÐ¼ Ð²Ð½ÐµÑÐµÐ½Ð¸Ñ Ð²Ð¾Ð·Ð¼ÑÑÐµÐ½Ð¸Ð¹ Ð² Ð¾Ð±ÑÑÐ°ÑÑÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÐ±Ð·Ð¾Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ð²ÐµÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿Ð¾Ð´Ð¿Ð¸ÑÐ¸ 2. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°ÐºÑÑÐ°Ð»ÑÐ½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð²ÐµÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿Ð¾Ð´Ð¿Ð¸ÑÐ¸ 3. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸Ð°Ð¼ÑÐºÐ¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ Ð¾ÑÐ»Ð¸ÑÐ¸Ñ Ð¾ÑÐ¸Ð³Ð¸Ð½Ð°Ð»Ð° Ð¿Ð¾Ð´Ð¿Ð¸ÑÐ¸ Ð¾Ñ Ð¿Ð¾Ð´Ð´ÐµÐ»ÐºÐ¸ 4. Ð¡Ð±Ð¾Ñ Ð½Ð¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ 5. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸Ð°Ð¼ÑÐºÐ¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ Ð¾ÑÐ»Ð¸ÑÐ¸Ñ Ð¾ÑÐ¸Ð³Ð¸Ð½Ð°Ð»Ð° Ð¿Ð¾Ð´Ð¿Ð¸ÑÐ¸ Ð¾Ñ Ð¿Ð¾Ð´Ð´ÐµÐ»ÐºÐ¸ Ð½Ð° Ð½Ð¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ 6. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð², ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² 7. ÐÐ±Ð¾Ð±ÑÐµÐ½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð²ÑÐ²Ð¾Ð´Ñ Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¿ÑÐ¾Ð´ÐµÐ»Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° ÑÐ¸Ð°Ð¼ÑÐºÐ°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ, Ð¾Ð±ÑÑÐµÐ½Ð½Ð°Ñ Ð½Ð° Ð²Ð¾Ð·Ð¼ÑÑÐµÐ½Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ, ÐºÐ¾ÑÐ¾ÑÐ°Ñ Ð¿Ð¾ÐºÐ°Ð·Ð°Ð»Ð° ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð»ÑÑÑÐµ, ÑÐµÐ¼ ÑÐ° Ð¶Ðµ ÑÐ°Ð¼Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ, Ð¾Ð±ÑÑÐµÐ½Ð½Ð°Ñ Ð½Ð° Ð¾Ð±ÑÑÐ½ÑÑ Ð´Ð°Ð½Ð½ÑÑ. ÐÑÐ»Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÐ¾ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾ÑÑÐ¸ ÑÐµÑÐ¸. ÐÐ»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐ»ÑÑÑÐµÐ½Ð¸Ð¹ Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ð¹ Ð±ÑÐ»Ð¸ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ñ Ð³ÑÐ°ÑÐ¸ÐºÐ¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ.
description: This work is devoted to the study of existing methods of verification of the signature, and increasing the robustness of machine learning models, by making perturbations in the training data. Tasks that were solved during the study: 1. Review of existing signature verification approaches 2. Research of actual signature verification methods 3. Development of a Siamese neural network to distinguish an original signature from a forgery 4. Collection of new data 5. Developing a Siamese neural network to distinguish the original signature from the forgery on a new data 6. Analysis of results, comparison of algorithm performance 7. Summary of research results and conclusions As a result of the work done, a Siamese neural network trained on perturbed data was developed, which showed better results than the same neural network trained on normal data. Performance tests were conducted on the network. Comparison graphs were presented to determine the improvements in the quality of the predictions.