Application of BP Neural Network Based on Genetic Algorithm Optimization in Evaluation of Power Grid Investment Risk

Application of BP Neural Network Based on Genetic Algorithm Optimization in Evaluation of Power Grid Investment Risk

The artificial intelligence calculation method can effectively solve various nonlinear mapping relationships. The strength of these nonlinear solvers is exploited for the evaluation of power grid investment risk using back propagation (BP) neural network optimized by genetic algorithm. The mathemati...

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Bibliographic Details
Main Authors: Qin Jiang, Ruanming Huang, Yichao Huang, Shujuan Chen, Yuqing He, Li Lan, Cong Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Power grid investment risk
risk evaluation
BP neural network
genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/8853257/

Internet

https://ieeexplore.ieee.org/document/8853257/

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