起重运输机械Issue(10)：26-32,7.
基于IAFA-BP的门式起重机技术特性权重预测
摘要
Abstract
Considering the lack of discussion on the relationship between functional requirements and technical characteristics in the design process of gantry crane in existing researches,in this paper,a weight prediction model of technical characteristics of gantry crane based on improved adaptive firefly algorithm and optimized BP neural network is proposed.By analyzing the relationship between functional requirements and technical characteristics of gantry crane,the weight of technical characteristics is predicted according to the importance of functional requirements,and the product adaptability design of gantry crane is realized.In addition,in order to improve the accuracy of the technical characteristics prediction of the gantry crane,an improved adaptive firefly optimization algorithm(IAFA)is proposed to optimize the weights and thresholds of the BP neural network and verify the effectiveness of the model.The comparison with the traditional model shows that this model has higher prediction accuracy.关键词
门式起重机/功能需求/技术特性/自适应萤火虫算法/BP神经网络Key words
gantry crane/functional requirements/technical characteristics/adaptive firefly algorithm/BP neural network分类
机械制造引用本文复制引用
刘畅,何丽娜..基于IAFA-BP的门式起重机技术特性权重预测[J].起重运输机械,2024,(10):26-32,7.基金项目
国家自然科学基金资助项目(51705436)、国家科技重大资助项目(2017-I-0011-0012)、四川省科技计划资助项目(2021JDRC0174) （51705436）
