Standard particle swarm algorithm is easy to fall into local optimum.
标准粒子群算法易陷入局部最优值。
BP neural network, as its nature of gradient descent method, is easy to fall into local optimum.
但BP神经网络本质是梯度下降法，容易陷入局部最优。
However, the standard Particle Swarm Optimization is easy to fall into local optimum, and slow convergence.
然而，标准粒子群算法存在容易陷入局部最优，后期收敛过慢等问题。
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