基于神经网络算法的振冲器性能分析

Performance Analysis of Vibrating Equipment Based on Neural Network Algorithm

通过神经网络的建模,建立的遗传神经网络的预测系统。通过振冲器各种因素的综合分析和融合,使用遗传算法的复制、交换等,使得预测系统大大提高收敛速度,其使用性和实际工程利用性强。

By modeling and neural network, we built the prediction system of genetic neural network. Through a comprehensive analysis of various factors of vibrator and fusion, genetic algorithm is used to copy, exchange, so the prediction system can greatly improve the convergence speed, its use and practical engineering using strong.