最后将粒子群算法优化神经网络引入故障模式识别中。
Finally, the paper used particle swarm optimized neural network into fault pattern recognition.
说明：基于粒子群的神经网络优化算法的应用，在土壤水分特征曲线中的应用。
Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
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