根据对工艺和实验数据的分析及预测目标等条件，确定了模型的结构。
The model structure was designed based on the analysis of technology and experiment data as well as forecast target.
建立树脂体系的流变模型可以预测体系rtm工艺窗口。
Chemorheology model can be used to predict the processing window of RTM.
以生产数据为学习样本，建立BP神经网络模型，实现对剪切旋压工艺参数的预测。
BP neutral networks model has been established in order to predict process parameter of shear spinning based on many data accumulated during manufacturing.
本文在文献的基础上，利用模糊数学相关知识建立根据一组工艺参数进行轧制性能预测的数学模型。
Based on the literature, we establish the forecast mathematical model depend on a set of technical parameters by the fuzzy mathematics correlative knowledge.
利用BP神经网络预测模型融合正交实验法对化学镀工艺进行优化。
The technology optimization of electroless plating can be predicted by BP neural network and orthogonal experiment.
用普通神经网络建立起由工艺参数预测力学性能的质量模型，模型预测结果的5%命中率是0.508。
The quality model whose hit ratio of 5% deviation reach 0.508 is established by applying the technology of basic artificial neural network.
实例表明，在工艺优化设计和器件性能预测中用回归模型代替工艺-器件模拟具有较大的优越性。
The examples indicate that using regression model instead of process and device modelling is superior in process optimized design and device performance prediction.
随着套管制造工艺的不断改进和制造水平的显著提高，现有的A PI5c3模型已不能正确地预测套管的实际抗挤强度。
With the continuously improvement of the production and manufacture technology of tubing and casing, current API 5c3 model can not predict the actual casing strength.
在此基础上建立预测模型，对不同工艺参数下等离子熔射层进行质量预测。
On this basis, the paper established a model for predicting the plasma spray coating quality under different process parameters.
该模型能较好地预测产品分布及性质，对FDFCC工艺的工业装置操作优化具有指导意义。
The model could predict the unit production well and guide the optimization of the operating conditions for FDFCC process.
蒙脱土悬浮液体系的粘性变化、结构触变性以及流变模型的建立，为评价、预测和改变涂料工艺性能提供试验依据。
The change of viscosity, structural thixotropy and foundation of rheologic model provide experimental evidence for evaluating, prognosticating and altering the technical performance of coating.
分析了循环流化床锅炉结构与工艺特点，结合循环流化床锅炉动态数学模型，提出采用模糊控制和广义预测控制相结合的新控制思路。
The dynamic properties of the circulating fluidized bed boiler were analyzed to develop a new control system based on fuzzy control theory and generalized forecast control theory.
神经网络具有良好的记忆、归纳和学习能力，对难以用数学方法建立精确模型的信息、工艺等能够进行有效地预测建模。
The neural network has the abilities of memory, induction & study , it can effectively build forecasting model for information & technics which are difficult to be built into an exact math model.
说明所建的模型方程能很好的预测枯草芽孢杆菌发酵水解罗非鱼的发酵工艺结果。
Prove that the model equation can well predict the results of the fermentation on tilapia.
模型调整成功后，可以实时预测注塑制品重量，在基于规则的基础上自动调节工艺参效，保证制品重量在要求范围内。
After it was trained successfully, it could be used to forecast the part mass on-line and adjust molding process variables based on rules in order to ensure the part mass in need.
采用人工神经网络的BP算法，以电火花微小孔加工工艺参数正交实验的结果作为神经网络的学习样本，建立电火花微小孔加工多目标工艺参数的预测模型。
Though choosing the experimental results as the learning sample, the performance predictive model of EDM micro-and-small holes is proposed, with the BP algorithm of artificial neural network.
仿真系统应该能够实现线切割加工工艺效果的预测，加工工艺参数的优化，而且通过训练模型的功能，能适用于不同类型的高速走丝线切割机。
Machining effectiveness prediction and parameters optimization is considered in this software. Moreover it can be used on different wire EDM machine tools through models training module.
由于该模型藕合了钢种连续冷却转变曲线，可预测相变热及相变区间，因而为新钢种开发及现有生产工艺的优化提供了依据。
As steels CCT figures have been coupled in the model, it can predict the heat and range of phase transformation, this function can provide direct help for ne...
利用人工神经网络方法研究了该工艺的参数协调和变形力预测等问题，建立了神经网络预测模型。
The method of artificial neural network was utilized to research the coordinating of the process parameters and the prediction of the forming pressure, and the model was established.
在工艺状况发生改变时，通过对模型的滚动优化，修正模型参数，来提高模型对实时观测数据的拟合程度和预测的准确性。
When the condition changes, fitting degree of observed data and prediction accuracy of the model are enhanced through rolling optimization and modifying model parameters.
该模型可以预测镍基合金薄壁筒在不同胀形工艺参数匹配下的回弹率，也可以用于优化胀形工艺参数。
The model can predict the bulging rebound rate of thin tube of nickel-based alloy at different process parameter, it can also be used to optimize the process parameters of bulging.
介绍了一种先进的控制模型(L -top模型)，对热辊型预测和带钢转换时的工艺变化做出很好的处理。
Here an advanced control model (L-TOP model) is introduced, which is good at predicting hot roll profile and technological change in strip transition.
介绍了一种先进的控制模型(L -top模型)，对热辊型预测和带钢转换时的工艺变化做出很好的处理。
Here an advanced control model (L-TOP model) is introduced, which is good at predicting hot roll profile and technological change in strip transition.
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