INTELLIGENT CONTROL TEMPERATURE AND HUMIDITY CONDITIONS IN THE GREENHOUSE

Authors

  • T. Prokopenko

Abstract

Reviewed by the major problem for the establishment of control temperature and humidity conditions in the greenhouse; selected neural mathematical tools to solve them. Developed synthesis sequence control system and it practically implemented. Using genetic algorithm analyzes the significance of the input parameters. An experiment on active production facility and received training data sets. Synthesized and tested for adequacy of the mathematical model greenhouse. Calculated energy efficient learning sample based on neural network control system established temperature and humidity conditions in the greenhouse; by simulation modeling checked its quality functional performance.

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Issue

No. 209 (2015): Частина 1 (англ)

Section

Статті

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