Modeling and optimization are ones of the central issues in engineering and technological research, which can be employed as a significant prerequisite for scientific decision-making and planning. However, prediction is the weakness for all technologies including heterogeneous catalysis.
建模与优化是工程技术研究的中心问题,预测是科学决策和规划的重要前提,预测的可靠性往往是衡量技术成功程度的重要指标,然而预测却是所有技术的薄弱环节,对于多相催化领域来讲亦是如此。
参考来源 - 混沌与支持向量机结合的多相催化建模与优化研究·2,447,543篇论文数据，部分数据来源于NoteExpress
提出一种基于系统结构的拟神经网络建模与优化原理及拓扑结构。
A novel principium and topology of modeling and optimizing is introduced, which employs like-neural networks based on system architecture.
鉴于此，论文旨在形成一个用于材料经验设计的数据软计算建模与优化框架。
The goal of this work is to develop a systematic data-driven modeling and optimization framework for empirical design of material, so it focuses on solving the following problems.
本文提出了一个新的电源优化与系统评价模型，强调了调峰问题的建模与优化。
In this paper, a new methodology forgeneration optimization and evaluation of power sys-tem is developed, in which the modeling and optimization of peak-regulation generators are emphasized.
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