1) inside predicting
内推预测
2) outside predicting
外推预测
1.
Based on BP neural network algorithm,utilizing the experimental data of concrete under sulfate corrosion as the training samples,the models are proposed for inside and outside predicting the corrosion depth of concrete,which consider the influence factors of the concentration of sulfate radical in solution,the tensile and compressive stress levels of concrete and the corrosion time.
基于BP神经网络算法,以硫酸盐侵蚀混凝土试验数据为训练样本,建立了考虑硫酸盐侵蚀溶液浓度、混凝土拉压应力水平和侵蚀时间等影响因素的硫酸盐侵蚀混凝土深度的内推与外推预测模型。
3) infers and forecast
推断预测
1.
According to the example,the paper infers and forecasts systemically,and calculates the number for in formation entropy,then compare with maximum of Shannon to make sure the main reason which lead to "bad phenomenon" in engineering management in formation entropy.
通过对建筑工程样本实例进行了系统的推断预测,给出信息熵的详细计算方法,然后将熵值和最大熵值比较,从繁杂的相关因素中,准确判断工程中导致某种“不良现象”出现的主导因素,进而针对性地防止工程管理中出现弊端。
4) stepwise predict
递推预测
1.
Research on xx gut tube s lifespan stepwise prediction based on BP network and polynomial fit;
某型火炮身管寿命的BP网及多项式递推预测研究
5) inference forecasting
推理预测
1.
Because of the existence of the indefinite factors in power load forecasting, a new load forecasting model — the fuzzy inference forecasting is presented.
考虑到电力负荷预测问题中存在的不确定性，采用模糊推理预测方法进行负荷预测的研究。
6) predictive inference
预测推理
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