Distributed generator (DG) is widely used and applied due to the energy environment issues. photovoltaic generation a typical kind of DG. Its output power random fluctuant, which has great influence on safe, stable economic operation system. Thus it necessary identify generated by distributed generation. This paper proposes identification method based BP Neural Network. The sample data comes fr...

A shortage or backlog of inventory can easily occur due to the backward forecasting method typically used, which will affect normal flow funds in pharmacies. This paper proposes a replenishment decision model with back propagation neural network multivariate regression analysis methods. With regular pattern between sales and individual variables, supplemented safety stock empirical formula, an ...

Back propagation neural network (BPNN) algorithm is a widely used technique in training artificial neural networks. It is also a very popular optimization procedure applied to find optimal weights in a training process. However, traditional back propagation optimized with Levenberg marquardt training algorithm has some drawbacks such as getting stuck in local minima, and network stagnancy. This...