title: Development of neural network based decision support expert system for ecological supervision
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: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð°
Creators: name: ÐÐ»ÑÐ¸Ð½Ð°, ÐÐ»Ð¸ÑÐ°
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: ÐÑ ÑÐ°Ð½Ð° Ð¾ÐºÑÑÐ¶Ð°ÑÑÐµÐ¹ ÑÑÐµÐ´Ñ
ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÑÐ¸Ð½ÑÑÐ¸Ðµ ÑÐµÑÐµÐ½Ð¸Ð¹
Ð¿Ð»Ð°Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð¿Ð¾ÑÑÐ´Ð¾Ðº Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸
ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð°ÑÐ¿ÐµÐºÑÑ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¿ÐµÑÑÐµÐ¿ÑÑÐ¾Ð½
ÐºÐ¾ÑÑÐµÐ»ÑÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ðµ Ð³ÑÐ°Ð´Ð¸ÐµÐ½ÑÐ°
Ð´ÐµÑÐµÐ²ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹
planning
order of identification
environmental aspects
classification
perceptron
correlation analysis
gradient boosting
decision trees

description: Ð¢ÐµÐ¼Ð° Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð¹ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹ Ð´Ð»Ñ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð½Ð°Ð´Ð·Ð¾ÑÐ°Â». Ð Ð°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð¹ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹ Ð´Ð»Ñ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¹ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½Ð° ÑÐ·ÑÐºÐµ Python. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÑÐ°Ð²Ð¸Ñ Ð¿ÐµÑÐµÐ´ ÑÐ¾Ð±Ð¾Ð¹ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ ÑÐµÐ»Ð¸: - ÐÐ·ÑÑÐµÐ½Ð¸Ðµ ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ½Ð¾Ð² ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼ÐµÐ½ÐµÐ´Ð¶Ð¼ÐµÐ½ÑÐ° Ð¸ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð°; - ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð¸Ð½ÑÐµÑÐ¿ÑÐµÑÐ°ÑÐ¸Ñ Ð°ÑÑÐ¸Ð±ÑÑÐ¾Ð² Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ñ Ð°ÑÐ¿ÐµÐºÑÐ¾Ð²; - ÐÐ¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ° ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°; - Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¸ Ð¸Ñ Ð¸Ð½ÑÐµÑÐ¿ÑÐµÑÐ°ÑÐ¸Ñ; - Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ; - Ð­ÐºÑÐ¿ÐµÑÑÐ½Ð¾Ðµ Ð¼Ð½ÐµÐ½Ð¸Ðµ Ð¾ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐµ Ð¼ÐµÑÐ¾Ð¿ÑÐ¸ÑÑÐ¸Ð¹ Ð¿Ð¾ Ð¼Ð¸Ð½Ð¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð²ÑÐµÐ´Ð½Ð¾Ð³Ð¾ Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°ÑÐ¿ÐµÐºÑÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð³Ð¾ Ð¼Ð½ÐµÐ½Ð¸Ñ; - ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ðµ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹. Ð Ð°Ð±Ð¾ÑÐ° Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¾Ð´Ð½Ð¾Ð³Ð¾ Ð¸Ð· ÑÐ°Ð±Ð¾ÑÐ¸Ñ Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð², Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÑÑÐ¸Ñ ÑÐ¾Ð±Ð¾Ð¹ ÑÐ°Ð±Ð»Ð¸ÑÑ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ñ Ð°ÑÐ¿ÐµÐºÑÐ¾Ð². ÐÐ°Ð±Ð¾Ñ ÑÐ¾Ð´ÐµÑÐ¶Ð¸Ñ 7964 Ð·Ð°Ð¿Ð¸ÑÐ¸ Ñ 310 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½ÑÐ¼Ð¸ ÑÐºÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ð¼Ð¸ Ð°ÑÐ¿ÐµÐºÑÐ°Ð¼Ð¸. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð±ÑÐ»Ð¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ñ ÑÐµÑÑÑÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð±ÑÐ» ÑÐ´ÐµÐ»Ð°Ð½ Ð²ÑÐ²Ð¾Ð´ Ð¾Ð± Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸. Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ»Ð° ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð° Ð³Ð¸Ð¿Ð¾ÑÐµÐ·Ð° Ð¿Ð¾ ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ ÑÐµÑÐµÐ½Ð¸Ñ.
description: The subject of the graduate thesis is "Development of neural network based decision support expert system for ecological supervision". This work is devoted to development of neural network based decision support expert system for ecological monitoring using neural technologies and machine learning techniques using Python language. The research sets the following goals: - Exploration of the theoretical basics of ecological management and monitoring; - Exploration and interpretation of the attributes of the dataset of ecological aspects; - Preparation of ecological data for analysis; - Development of neural network based models and their interpretation; - Development of machine-learning models; - Expert feedback on the set of actions to minimize the harmful impact of the ecological aspect on the base of the experts input; - Conducting a comparative analysis of the developed models. The work was carried out on the basis of a data set obtained during one of the work projects, which represent tables of ecological aspects. The set contains 7964 records with 310 detailed ecological aspects. As a result, four models were obtained. Based on the obtained models, a conclusion about their accuracies was made.Â Also, a hypothesis regarding the improvement of the developed solution was formulated.