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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