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Learning process network for modelling entire complex processes - contains network of metacellular automata, double Pteri network, evolutionary process moudle and diverse operators.
Learning process network for modelling entire complex processes - contains network of metacellular automata, double Pteri network, evolutionary process moudle and diverse operators.
A learning process network consists of a network of metacellular automata, a double Petri network, an evolutionary process module and diverse operators. A physical-microscopic model of the components of a system, including a medium filling the system, is produced in a metacellular automaton according to the hardware structure of the components to be modelled and the medium, ie a liquid, gas or vapour. Dynamic physical and technical model processes are produced in the model. USE/ADVANTAGE - The network is used to model entire complex hydromechanical, thermohydraulic and energy processes.
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