而这就是插值和预报函数能提供的解决方案。
And this is where interpolation and a prediction function can provide a solution.
你能让预报函数基于物件的速度、操纵或者旋转速度。
You can base this prediction function on the speed of the object, steering or rotation speed.
但不幸的是，display_game函数会变得复杂，你需要实现一个以插值作为参数的预报函数。
But unfortunately, the display_game function gets more complex. You will have to implement a prediction function that takes the interpolation as argument.
如果你不想花心思在预报函数上，转而使用使用最大帧速率，你会发现在低速和高速硬件都获得正确的游戏更新速率会很棘手。
If you don't want to bother with a prediction function, you can work with a maximum frame rate, but finding the right game update rate for both slow and fast hardware can be tricky.
提出用粗糙集理论简化这些因素，然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。
This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
合适的水声传播模型是水下声信道传递函数预报的基础。
The proper sound propagation model is the basis of transfer function prediction of underwater acoustical channel.
根据模糊聚类与模糊识别理论，基于模糊环境下的目标函数，提出了一种确定预报因子权重的理论模式。
According to fuzzy clustering theory and fuzzy pattern recognition theory, a theory and model deciding forecast factor weight was present on basis of fuzzy object function in this paper.
投影定理在平稳时间序列的预报及函数逼近研究中起着重要的作用。
Theorem of projection is more important in the study of prediction of stationary discrete-time sequence and function approximating.
引入通用归一化仰角函数是改善预报误差的主要原因。
The improvement of predicting error is mainly due to introduction of general normalized elevation angle function.
地磁转换函数的变化已被广泛用于中短期地震预报。
The variations of geomagnetic transfer function have been widely used in the medium short term earthquake prediction.
由于BP神经网络可以实现任意线性或非线性的函数映射，所以可以满足终点氧含量的预报要求。
Because the BP neural network may realize the free linearity or the non-linear function mapping, it may satisfy the request of the forecast for the endpoint oxygen content.
利用均生函数外延，作出各代表点未来30年的年平均气温及年降水量预报。
Based on the mean value function, forecast was made of each year's mean air temperature and mean precipitation in the coming 30 years.
本文结合改进HARPO算法和GRAB算法开发了一套水下声信道传递函数预报软件。
This dissertation developed a set of software for predict the system function of underwater sound channel combined modified HARPO arithmetic and GRAB arithmetic.
在均生函预报模型的基础上，利用其残差数据序列对均生函数预报模型进行校正，提出了均生函数残差预报模型。
This paper presents the residual error forecast model of average-growing function by using its residual error data sequence to adjust the model based on the finished forecast model.
预报结果发现，均生函数残差预报模型对原有模型在预报精度上都有一定的改进，取得了较好的预报效果。
The forecast result finds that the model has obtained a good forecast effect after it makes a certain improvement to the original model.
另外，本文采用《水文情报预报规范》中的确定性系数作为目标函数，使得预报结果更加直观。
In addition, the thesis took the certain coefficient in "forecasting norm for hydrology intelligence" as the objective function in order to make the forecasting result more clear.
轧制压力的计算考虑了奥氏体再结晶变化的修正函数，使力能预报及辊缝预设精度明显提高；
The calculation of the rolling poweradopts to consider the variety of the recrystallization in austenite the correction function, improve the accuracy forecast of power and energery;
由于传递函数模型是在利用ARIMA模型理论基础上，同时将输入序列的变化对输出序列预测值的影响充分的加以考虑，所以可以使预报误差大大降低。
Transfer function model reduced error of forecast due to it made use of ARIMA model theory as well as calculated affection of input series leading the predicted value of output series.
将逐时段定点降水非连续量的预报问题转化为对一个连续的降水可能函数的预报问题。
In this paper, the forecast is transformed into a forecast of a continuous variable—possibility function of precipitation(PFP).
该模型采用ARMA模型描述实测流量的先验分布，采用AR模型模拟预报残差的似然函数，并假定先验分布和似然函数均服从正态分布。
The ARMA model was used to describe the prior distribution of observed discharge and the ar model was adopted to simulate the likelihood function of forecasting error.
结果表明，费尔·哈斯反函数模型在短临预报中具有较高精度。
It shows that Verhulst inverse-function model has a high precision in the short term prediction of landslides.
在夏收期间的中期预报中，使用了非线性多元样条函数回归预报模型。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
在夏收期间的中期预报中，使用了非线性多元样条函数回归预报模型。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
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