Chemical pattern recognition applied to materials optimal design and industry optimization

CHEN Nianyi; LI Chonghe; QIN Pei

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Chemical pattern recognition applied to materials optimal design and industry optimization

机译：化学模式识别应用于材料优化设计和行业优化

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The multi-dimensional spaces, spanned by the dimensionless numbers describing the equilibrium states or the macroscopic chemical kinetics of complicated chemical reaction systems, have been used for the data processing of the processes in materials preparation or industrial production. It has been found that there are four common topological types of the relations between the optimization zone and the operation zone in the multi-dimensional spaces. Various computation methods using pattern recognition, artificial neural network and genetic algorithm are used for model-building and optimization strategy searching. An integrated system named KDPAG has been built for materials optimal design or industrial optimization. Application to chemical, petrochemical and metallurgical industries and materials optimal design gives good results.

机译：多维空间被描述复杂化学反应系统的平衡状态或宏观化学动力学的无量纲数所包围，已用于材料制备或工业生产过程的数据处理。已经发现，多维空间中的优化区和操作区之间的关系有四种常见的拓扑类型。使用模式识别，人工神经网络和遗传算法的各种计算方法来建立模型和优化策略。已经建立了一个名为KDPAG的集成系统，用于材料优化设计或工业优化。在化学，石化和冶金行业的应用以及材料的优化设计均能获得良好的效果。

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来源
《Chinese science bulletin》 |1997年第10期|共6页
作者
CHEN Nianyi; LI Chonghe; QIN Pei;
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正文语种 eng
中图分类自然科学现状及发展;
关键词
chemical pattern recognition; materials design; industrial optimization;

机译：化学模式识别;材料设计;工业优化;

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1. Chemical pattern recognition applied to materials optimal design and industry optimization [J] . CHEN Nianyi, LI Chonghe, QIN Pei Chinese science bulletin . 1997,第10期

机译：化学模式识别应用于材料优化设计和行业优化
2. A perspective on two chemometrics tools: PCA and MCR, and introduction of a new one: Pattern recognition entropy (PRE), as applied to XPS and ToF-SIMS depth profiles of organic and inorganic materials [J] . Chatterjee Shiladitya, Singh Bhupinder, Diwan Anubhav, Applied Surface Science . 2018,第mara1期

机译：透视两种化学计量学工具：PCA和MCR，并引入一种新的方法：模式识别熵（PRE），应用于有机和无机材料的XPS和ToF-SIMS深度剖面
3. Design optimization of silo structures made from composite materials Part 2: optimum design of the composoite conical hopper [J] . E V Morozov, J L Henshall, C J Brown Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications . 2002,第2期

机译：由复合材料制成的料仓结构的设计优化第2部分：复合土锥形料斗的优化设计
4. N-factor "pattern recognition" method and software applied to process optimization and materials intelligent design [C] . Chen Nianyi, Chen Ruiliang, Lu Wencong, International conference on multisource-multisensor information fusion;FUSION'98 . 1998

机译：N因子“模式识别”方法和软件应用于工艺优化和材料智能化设计
5. Achieving Consistent Near-Optimal Pattern Recognition Accuracy Using Particle Swarm Optimization to Pre-Train Artificial Neural Networks. [D] . Nikelshpur, Dmitry O. 2014

机译：使用粒子群优化对训练前的人工神经网络实现一致的近似最佳模式识别精度。
6. Optimal Chemical Grouping and Sorbent Material Design by Data Analysis Modeling and Dimensionality Reduction Techniques [O] . Melis Onel, Burcu Beykal, Meichen Wang, -1

机译：通过数据分析建模和降维技术优化化学分组和吸附剂设计
7. ABSTRACTudThe purpose of this research is to obtain an optimal formulations of Black mulberry leaves dried noodle product by using Design Expert Application with Design Mixture D-optimal method.udThis research was done with two phases. The preliminary procedures research is to determine levels of antioxidant activity, chlorophyll content, and the levels of tannin that was contained in black mulberry leaves, the black mulberry leaf flour, a pare fruits, and pare flour. Primary research is to determine the best formulation by using a Mixture Design Expert Design D-optimal method, for a purpose is to optimized the Black mulberry leaf dry noodle. Responses in this studies are a chemical analysis response by using a crude fiber analysis and protein analysis. Physical response is water absorption. Sensory response are color, flavor, and odor.udBlack mulberry leaves dried noodles was made from wheat flour, black mulberry leaf flour, and pare flour, other materials such as an eggs, water, salt, and sodium bicarbonate, of the 16 formulations that has offered to produce an optimal formulation based on desirability which contains 39.69 Flour,14.25 Black Mulberry Leaves flour, 3.06 Pare fruit and flour amounted, and other materials are 30 water, 10 eggs, 2 salt, and 1 sodium bicarbonate. The formulation has been result by program 11,05 crude fiber content, 12.93 protein, 274.31 water absorption, 4,31 for color attribute, 3,87 for taste attribute, and 3,71 for aroma attribute.ududKeyword: Black mulberry leaf dried noodles, optimization. [O] . Leti Nurlatifah Alumni, Yudi Garnida DS, Tantan Widiantara DS 2017

机译：抽象 ud本研究的目的是通过使用带有Design Mixture D-最优方法的Design Expert Application获得黑桑叶干面条产品的最佳配方。 ud这项研究分两个阶段进行。初步程序研究是确定抗氧化剂活性，叶绿素含量以及黑桑叶，黑桑叶粉，果皮和果皮中所含单宁的含量。首要研究是通过使用Mixture Design Expert Design D-optimal方法确定最佳配方，目的是优化黑桑叶干面条。本研究中的反应是通过使用粗纤维分析和蛋白质分析进行的化学分析反应。物理反应是吸水。感官反应是颜色，味道和气味。黑桑叶干面条由小麦粉，黑桑叶粉和削皮粉，鸡蛋，水，盐和碳酸氢钠等其他材料制成，这16种配方可根据需要提供最佳配方其中包含39.69％的面粉，14.25％的黑桑叶面粉，3.06％的去皮水果和面粉，其他材料是30％的水，10％的鸡蛋，2％的盐和1％的碳酸氢钠。该配方是通过程序11,05％的粗纤维含量，12.93％的蛋白质，274.31％的吸水率，4.31的颜色属性，3,87的味道属性和3,71的芳香属性得出的。 ud关键字：黑桑叶干面条，优化。
8. Clustering-based pattern recognition applied to chemical recognition using SAW array signals [R] . Osbourn, G C, Bartholomew, J W, Frye, G C, 1994

机译：基于聚类的模式识别应用于使用saW阵列信号的化学识别

Chemical pattern recognition applied to materials optimal design and industry optimization

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