Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
This paper presents a new approach for real-time tuning the parameters of a conventional power system stabilizer using the wavelet neural network, which is used to design the stabilizer.
提出一种应用小波神经网络进行动态实时调整传统电力系统稳定器参数的设计方法。
The optimal design of HVDC control and protection parameters in the case of large-scale ac and DC power system network is a valid measure to ensure achieving good transient and stable performance.
对大规模交直流网络下的高压直流控制保护系统进行参数优化设计，是保证灵活交流输电系统暂态性和稳定性良好的重要手段。
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