Search academic texts

Information × Registration Number 0313U005199, 0101U000664 , R & D reports Title Mathematical midelling in agrotechnologies. popup.stage_title Математичне моделювання в агротехнологіях. Head Vitaliі Lysenko, Registration Date 27-08-2013 Organization National agricultural university of Ukraine popup.description2 Object of study - functional features of neural network models of physiological properties of wild plants, the amount of symbiotically fixed nitrogen leguminous plants, the optimal data model Agrobiological Research. The purpose of research - to study the functional characteristics of neural network models of physiological properties of wild plants, analysis of the feasibility of using Intelligent Decision Support Systems (IDSS) for restoring contaminated fito technology xenobiotics agricultural areas, the definition of symbiotically fixed nitrogen leguminous plants, the development of optimal data model Agrobiological Research. Methods of research - Mathematical models in agricultural engineering; neural information model physiological properties of wild plants, the architecture of fuzzy neural network (FNN), which includes 8 input layer neurons, 16 fuzzy rules productions, 16 products and the relevant rules of the transition layer neurons. Setting FNN occurred by changing the form of membership function and network training algorithm. To create an ANFIS (Adaptive Network Based Fuzzy Inference System) identify tolerant plant species used graphical interface hybrid neural networks is implemented in a package of applications ANFIS Editor (Fuzzy Logic Toolbox) system MatLAB. FNN Intelligent Decision Support Systems provides adequately and promptly identify the structure of natural plant communities resistant to the pesticide load plants species. Developed mathematical models agrobiology; model to determine the amount of nitrogen renewed which goes to the plants over a specified period of time; study nitrogen fund of soil; considered the process of renovation of nitrogen that enters legumes, mathematical model, developed optimal data model Agrobiological research, developed a data structure that improves the efficiency of their use, both in the analysis of information systems and software applications in MS Office, and are examples of possible data which make it possible to implement the proposed structure. Area of application - agro engineering. Product Description popup.authors Вергунона Інна Миколаївна Лисенко Віталій Пилипович Тарасенко Pостислав Oлександрович popup.nrat_date 2020-04-02 Close