Abstract
Summary. This article addresses the study related to forecasting with an actual highspeed decision making under careful modelling of time series data. The study uses datamining modelling for algorithmic optimization of transport goals. Our finding brings to the future adequate techniques for the fitting of a prediction model. This model is going to be used for analyses of the future transaction costs in the frontiers of the Czech Republic. Time series prediction methods for the performance of prediction models in the package of Statistics are Exponential, ARIMA and Neural Network approaches. The primary target for a predictive scenario in the data mining workspace is to provide modelling data faster and with more versatility than the other management techniques.
Highlights
Predictive analysis and algorithms are essential for the most important issue of a well-functioning economic system for optimization problems in transportation system planning
The results were generated under the following principles of neural network From the discovering patterns of generated characteristics, we acquired the prediction model 5 MLP 12-7-1, which for us is more suited
This article suggested the general overview of the prediction methods that with their statistical outputs make for effective processing in future
Summary
Predictive analysis and algorithms are essential for the most important issue of a well-functioning economic system for optimization problems in transportation system planning. Prediction methods relate to assessment procedures and have been used in the field of manufacturing planning. Achieving accurate decision making in the manufacturing industry is not easy to come by It requires smart and definitive methodologies or a thoughtful algorithm on how to get the suitable model from various prediction perspectives [28]. The modelling tool in the data mining workspace is one from flexible instruments, which allows to reach the forecasting value of economic parameters and to increase future precision. We model future predictions with the improved technique process in the following manner: how to set up management tools to gain the best economic advantages. The major principle of every possible future scenario of a manufacturing area is to realize business planning with transparent economic value.
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