By integrating the backmixing theory of reaction engineering with predictive model of river pollution in environmental quality assessment study, the predictively longitudinal dispersion model of river quality was got and analyzed 摘要将反应工程学的返混理论与环境质量评价学的河水污染预测模型结合,得出了河流水质预测纵向扩散模型,并给出了解析解。
In this paper, a multi-area diagnostic & predictive model are proposed for combustion process in gasoline engines . models are composed of thermodynamic model, turbulence flams propagation model & nitrogen oxides ( nox ) formation model 本文建立了汽油机燃烧过程的多区诊断及预测模型,其中包括氮氧化物生成模型和废气再循环降低氮氧化物生成的优化模型。
The quantity of supply and demand and analytical balance of jining city's groundwater were predicted and analysed with predictive model in detail, and proposals to control and restrain the groundwater mining rationally were also tackled 应用预测模型,重点对济宁市地下水资源的供水需水进行了预测分析计算,提出了合理控制和限制地下水开采的措施和建议。
A subsystem that learns a churn predictive model and construct a policy model from the analysis of churner attributes . the policy model is used to support automatic recommendation of retention policy :可以从客户的往来记录中,建构出预测客户流失行为的模型,接著分析流失客户的属性关系,建立出不同流失原因之族群,最后再依该分析建构对应的客户保留策略推荐机制。
A two-zone and a multi-zone diagnostic and predictive models are proposed for combustion process in gasoline engine, contains spark ignition process, transfer heat and no emission calculation, in chapter 2 第二章建立了汽油机燃烧过程的双区和多区诊断及预测模型,其中包括火焰传播模型、传热模型、点火计算和火焰核发展模型、no_x的生成模型以及工质物性参数的计算模型。
To reduce computational load further, a recursive lssvm algorithm is utilized . on the other hand, every training sample is also assigned a prior weight by taking their respective contribution to the final predictive model into account 另外,在上述递推算法的基础上,引入了训练样本加权的思想以区分各个训练样本对于建模的重要性,进一步提高和增强预估模型的总体性能。
Several diff-erent algorithms are deduced together . based on the neural network predictive model, the new important algorithm proves its truth in the simulation and deduction . this solution is from the aspect of the 作者将几种不同的控制算法进行对比论证,针对利用神经网络离线建立起的轧机被控对象的预测模型,通过作者严密的理论推导和周密的仿真实验证实了控制方案的可行性和正确性。
First we identify the controlled plant offline, when the precision reaches a certain extent, we will achieve recursive predictive model by on-line identification . finally we acquire the optimized control law by minimizing the function of performance guideline 首先对被控对象进行离线辨识,在模型辨识达到一定的精度后,再在线递推得到预测模型,最后通过极小化性能指标得到最优控制律。
In this method a neural network is construct to identify the nonlinear system and be as the recursive predictive model . a nonlinear pid controller is constructed by combining the predictive theory to control the nonlinear process 选用一个前馈神经网络对非线性系统进行辨识,并将此网络作为递推多步预测模型,再与广义非线性pid控制思想结合,构造一个由神经网络实现的非线性预测pid控制器。
It has build the predictive model of the controlled object by the neural net-work technology of artificial intelligence theory out of the working process and has adopted a new adaptive control algorithm in the roll-ing optimization aspect 通过人工智能中的神经网络技术离线建立起被控对象的预测模型,并且在实时控制时进行在线修正;在滚动优化环节采用一种作者提出的全新的自适应控制算法。