采用遗传算法的旋转机组状态趋势预测之探讨

An Exploration of the Trend Prediction of the Conditions of Rotary Sets with the Genetic Algorithm

探讨了采用遗传算法 (GA)进行旋转机组工作状态趋势预测的新途径 ,指出了适合度的选择是实现 GA算法趋势预测的关键。提出了 GA预测的方案 ,探讨了神经网络 GA预测、时间序列模型 GA预测 ,以及灰色模型 GA预测的适合度选择 ,提供了进行遗传算法预测的操作步骤。

A new way for trend prediction of the conditions of rotary sets with genetic algorithm(GA) is explored. The selection of fitness is a key to achieve the trend prediction with GA. A plan of GA prediction was put forward. The ways for selecting fitness to the neural network GA predicting, the time series model GA predicting and the grey model GA predicting were probed. The operating steps of GA predicting have been provided.