Interpretation of Forecast State of Dynamic Objects by Images Recognition And Evolutionary Computation
The problem of forecasting of conditions of complex objects which characterized by time functions is considered. This problem of forecasting is reduced to the decision of problem of stochastic programming with probable restrictions. As restrictions there are inequalities, formalizing the requirements of hit of the control trajectorys predicted part to classes with probabilities, satisfying to the set of restrictions. For the decision of the received problem of optimization the genetic algorithm of given problem with stochastic specificity is under construction.
Keywords: Control Object, Estimation, Trajectory, Evolutionary Algorithms, Population, Genetic Algorithm
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ABOUT THE AUTHORS
Adalat Kerim Kerimov
Professor, doctor of sciences.
Ceyran Khalilova
A teacher
Sadagat Abdulzade
A teacher
Adalat Kerim Kerimov
Professor, doctor of sciences.
Ceyran Khalilova
A teacher
Sadagat Abdulzade
A teacher
