EVALUATION OF RAILWAY PASSENGER STATION SERVICE LEVEL BASED ON ARTIFICIAL FISH-BP ANN

摘要

The artificial fish algorithm can shorten the network convergence speed, improve training rate of BP network, and achieve mutual beneficial complement This paper analyzes main factors that influenced railway passenger station service level, which is evaluated by an index system based on passenger satisfaction. By using artificial fish-BP ANN algorithm, this paper provides a comprehensive assessment of intelligent and effective method to evaluate railway passenger station service level. Through the relevant calculations and examples of comparison , this proposed evaluation method is verified with its correctness, adaptability and feasibility.