Authors:
Y. S. Nurakhov
;
B. Bektugan
;
K. Nurbergen
;
T. S. Imankulov
and
D. Zh. Akhmed-Zaki
Affiliation:
Al-Farabi Kazakh National University, Al-Farabi Ave., 71, Almaty and Kazakhstan
Keyword(s):
FPGA, Decision Making, Neural Network, Data Collection Network, Heat Equation, Heat Propagation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Distributed Control Systems
;
Health Engineering and Technology Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge-Based Systems
;
Neural Networks Based Control Systems
;
Symbolic Systems
Abstract:
In this paper, we consider the software and hardware implementation of an intelligent distributed system for forecasting and controlling the optimal distribution of heat in the room. Prediction is based on a pre-trained neural network model. The system uses calculation results of the one-dimensional heat conduction problem to correct neural model being trained and decides to turn on / off a specific air conditioner depending on the predicted data.