电器与能效管理技术Issue(2)：19-24,6.DOI:10.16628/j.cnki.2095-8188.2019.02.004
果蝇算法优化的BP神经网络在电磁继电器贮存寿命预测中的应用
Application of BP Neural Network Optimized by Drosophila Algorithm in Prediction of Storage Life of Electromagnetic Relay
摘要
Abstract
When using traditional BP neural network to predict relay life, there often occur the problems of too slow convergence speed, local optimum, poor stability or over learning and less learning, because of the randomness of the initial weights and thresholds.To solve these problems, this paper proposed a prediction method combining drosophila optimization algorithm and BP neural network to improve the quality of prediction models.Using drosophila optimization algorithm to search for the optimal initial weights and thresholds to reduce model errors.By using the prediction model, the storage life of electromagnetic relay is predicted indirectly through the prediction of the contact resistance value in the storage process of electromagnetic relay, and the feasibility of the model was verified.关键词
电磁继电器/贮存寿命预测/BP神经网络/果蝇优化算法Key words
electromagnetic relay/prediction of storage life/BP neural network/drosophila optimization algorithm分类
信息技术与安全科学引用本文复制引用
王佳炜,王召斌,黄周霖..果蝇算法优化的BP神经网络在电磁继电器贮存寿命预测中的应用[J].电器与能效管理技术,2019,(2):19-24,6.基金项目
国家自然科学基金资助项目(51507074) （51507074）
江苏省高校自然科学研究面上资助项目(17KJB510014) （17KJB510014）
