Electricity Quantity Prediction Model of Power Battery based on PSO-BP Neural Network
Author:
Affiliation:
1. Guangzhou Institute of Energy Testing,Guangdong Key Laboratory of Battery Safety,Guangzhou,Guangdong,China,511447
2. ZKSkynet (Guangdong) Technology Co., LTD,Guangzhou,China,510075
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902052.pdf?arnumber=9902052
Reference16 articles.
1. WSN Localization Technology Based on Hybrid GA-PSO-BP Algorithm for Indoor Three-Dimensional Space
2. Air Quality Prediction Using Improved PSO-BP Neural Network
3. Energy consumption prediction model of SiCp/ Al composite in grinding based on PSO-BP neural network[C];gu;Solid State Phenomena,2020
4. State-of-charge Estimation of Lithium-ion Batteries Based on PSO-BP Neural Network
5. Comparison of GA-BP and PSO-BP neural network models with initial BP model for rainfall-induced landslides risk assessment in regional scale: a case study in Sichuan, China
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