Research of Methods of Control and Management of the Quality of Butter on the Basis of the Neural Network
- Resource Type
- Conference
- Authors
- Kostiuk, Yuliia; Kryvoruchko, Olena; Tsiutsiura, Mykola; Yerukaiev, Andrii; Rusan, Nadiia
- Source
- 2022 International Conference on Smart Information Systems and Technologies (SIST) Smart Information Systems and Technologies (SIST), 2022 International Conference on. :1-6 Apr, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Dairy products
Neural networks
Buildings
Production
Predictive models
Information systems
neuroprognosis
neural network
quality
neural network model
self-study
organoleptic evaluation
accuracy indicator
data sets
- Language
The work is devoted to the problem of neuro-forecasting, based on the use of a set of methods to optimize the process of building a neural network model, which will improve the quality of production of a product that meets the specified indicators. The proposed methods will predict the quality of the finished product when changing technological parameters, due to the ability of neural network models to self-study.