1) forecasting characters
预测特点
1.
Five sets of results for different L_9(3~4) orthogonal tests were used as the training-study samples, the forecasting characters of L_9(3~4) orthogonal test were researched on the basis of the artificial neural network.
用五组L9(34)正交实验结果作为训练学习样本集,通过人工神经网络对其预测特点进行了探讨。
2) Prospective Characteristics
预期特点
1.
The Transforming Trends and Prospective Characteristics of Learning Models;
学习模式的变革取向与预期特点
3) the default characteristics
预设特点
5) prediction point-by point
逐点预测
6) zero crossing forecast
零点预测
1.
Based on the work of current zero crossing forecasts,the accuracy of current introducing time was guaranteed.
基于前人对电流零点预测工作的研究成果,保证了电流引入时间的准确性,将单相合成试验采用的电流引入法借鉴到三相合成试验,实现三相电流并联引入。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条