STUDY ON STOCHASTIC CONSTRAINT ENVIRONMENT MODELING METHOD FOR OPTIMAL DEVIATION RECTIFICATION PATH OF BOOM-TYPE ROADHEADER

Study on stochastic constraint environment modeling method for optimal deviation rectification path of boom-type roadheader

Aiming at path planning problem of Molybdenum Grease the unstructured environment attributions for roadheader roadway this paper analyzes the attributes and behavior constraints of unstructured environments,and a dynamic random grid network model with constraint information was defined(C-G Net).The minimum cost modeling method was proposed by optim

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Exponentially Increasing Trend of Infected Patients with COVID-19 in Iran: A Comparison of Neural Network and ARIMA Forecasting Models

Background: The outbreak of COVID-19 is rapidly spreading around the world and became a pandemic disease.For help to better planning of interventions, body oil this study was conducted to forecast the number of daily new infected cases with COVID-19 for next thirty days in Iran.Methods: The information of observed Iranian new cases from 19th Feb to

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