BP neural network is a kind of multi-layer network trained by error back propagation algorithm and it can be integrated to genetic algorithm (GA) to obtain an ex ...

Moreover, it is easy to make the training of weights and thresholds of BP neural network fall into local area because of gradient descent Optimum. So in this experiment, GA genetic algorithm is used ...

This paper investigates a plastic sealing device layering problem, A BP neural network combined with genetic algorithm (GA) is proposed to optimize injection molding process parameters based on ...

With the improvement in the integration of solar power generation, photovoltaic (PV) power forecasting plays a significant role in ensuring the operation security and stability of power grids. At ...

The ISCA algorithm is used to optimize the BP neural network and establish the IISCA-BP reservoir porosity prediction model. In this paper, the natural gamma number, porosity, logging sound wave and ...

Keywords: Back Propagation neural network algorithm, network model, green supply chain, intelligent logistics robot, artificial intelligence Citation: Wang H (2022) Green Supply Chain Optimization ...