Abstract
In recent years, more and more attention has been paid to the utilization of data and information in the logistics distribution path optimization system of e-commerce, but it is difficult to have scientific guarantee in the process of determining the optimal distribution path scheme of e-commerce. How to realize the optimization and adaptive setting of distribution path by using intelligent algorithm has become a hot spot. To battle these issues, this paper studies the logistics distribution path optimization model based on recursive fuzzy neural network algorithm. This paper analyses the research status of logistics distribution path determination scheme and applies the recursive fuzzy neural network algorithm in the selection of e-commerce logistics distribution path scheme. The experimental results show that the recursive fuzzy neural network algorithm can realize the optimization of e-commerce logistics distribution path, and the best distribution route can be made according to the characteristic difference of logistics distribution route, and its distribution accuracy can reach more than 97%.
Highlights
Rough the quantitative research on the data information contained in different functions of logistics distribution route optimization system based on recursive strategy and fuzzy analysis, the hierarchical framework and index relationship of the whole intelligent logistics distribution route optimization system are designed. is paper makes a multilevel data analysis on the scheme configuration strategy of logistics distribution path optimization system from different dimensions, which provides a comprehensive
With data mining as the core, the logistics distribution path optimization system and path scheme evaluation system based on recursive fuzzy neural network algorithm are constructed
In order to further verify the differences of logistics distribution path optimization system in different dimension data levels, before formal experiments, we need to analyse the differences and random distribution of different types of distribution path scheme requirements and key nodes of the path, so that the experimental results can be more reliable
Summary
Rough the quantitative research on the data information contained in different functions of logistics distribution route optimization system based on recursive strategy and fuzzy analysis, the hierarchical framework and index relationship of the whole intelligent logistics distribution route optimization system are designed. is paper makes a multilevel data analysis on the scheme configuration strategy of logistics distribution path optimization system from different dimensions, which provides a comprehensive. Is paper makes a multilevel data analysis on the scheme configuration strategy of logistics distribution path optimization system from different dimensions, which provides a comprehensive. E innovation of this paper is to propose an improved recursive fuzzy neural network algorithm based on data mining, which is used to optimize the data and information state in the e-commerce logistics distribution path optimization system. Is paper studies the data mining analysis and construction strategy of logistics distribution path optimization system, which is mainly divided into five sections. With data mining as the core, the logistics distribution path optimization system and path scheme evaluation system based on recursive fuzzy neural network algorithm are constructed.
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