共查询到20条相似文献，搜索用时 46 毫秒
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适用于面制品蛋白营养强化的新型大豆蛋白 总被引：2，自引：0，他引：2
采用大豆功效成份连续提取、逆向留存大豆蛋白技术,生产新型大豆浓缩蛋白(纯度≥70%)可将大豆浓缩蛋白成本降至＜0.22万元/t,是国内外同类产品成本的1/3,在面粉中添加5%～8%新型大豆浓缩蛋白,可使面制主食中大豆蛋白含量提高3.5%～5.6%,而且可全面改善面制主食的品质,不增加面粉与面制主食的售价。 相似文献
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合成PEN的酯交换反应工艺优化研究 总被引：1，自引：0，他引：1
以 2 ,6 萘二甲酸二甲酯和乙二醇为原料 ,Zn(AC) 2 为催化剂 ,在选定的反应条件下 ,研究了合成PEN(聚 2 ,6 萘二甲酸乙二醇酯 )的酯交换反应。详细论述了温度、催化剂浓度、反应时间、反应物摩尔配比等反应因素对NDC和EG酯交换反应的影响 ;确定了酯交换反应优化工艺条件 相似文献
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甲基丙烯酸甘油酯改性大豆蛋白胶黏剂的制备及热压工艺优化的研究 总被引：2，自引：2，他引：0
以过硫酸铵/亚硫酸氢钠(APS/NaHSO3)氧化还原剂为引发体系,由疏水性甲基丙烯酸缩水甘油酯(GMA)和尿素改性大豆蛋白,在50℃下进行乳液聚合反应,得到了甲基丙烯酸缩水甘油酯接枝大豆蛋白胶黏剂(GSP)。考察了胶黏剂的稳定性、表观黏度以及胶黏剂胶黏强度和耐水性的影响因素及热压工艺条件。 相似文献
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本文将人工神经网络用于建立７１７５铝合金的性能预测模型；在此基础上，采用遗传算法对其工艺进行优化，获得了满意的结果，从而为材料工艺优化研究探索了一条崭新的途径。 相似文献
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为了刻蚀出图形完整、侧壁陡直、失真度小、独立的类金刚石薄膜微器件,反应离子刻蚀是一种有效地刻蚀方法。研究了氧气与氩气的混合气体进行类金刚石薄膜刻蚀的主要工艺参数(刻蚀时间、有无掩膜、氩氧体积混合比、负偏压)。研究结果表明:在相同条件下,刻蚀速率随刻蚀时间变化不大;有无掩膜对刻蚀速率无明显影响;流量一定时,刻蚀速率随氩氧体积比的增大而降低,随负偏压的增大先增大后减小。实验得到最佳刻蚀条件,在此条件下,刻蚀出图形完整、侧壁陡直、失真度小的微器件,并成功制备出"独立"的微齿轮,进行了组装。 相似文献
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蚓中药名为地龙,地龙是我国重要的中药材之一,应用十分广泛。随着现代科学技术的不断深入发展,蚯蚓在医学领域的研究也越来越广泛深入。国内外医药工作者对蚯蚓的活性成分、药理作用及临床效果的研究不断有新的进展和成果。本文将就此对蚯蚓中蛋白类成分进行综合论述。 相似文献
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研究了多工况结构柔度最小化方法。提出了3杆类桁架连续体材料模型。推导了该材料的刚度矩阵及其导数。通过优化杆件分布场得到优化的类桁架连续体。克服了目前普遍采用单元的"有"和"无"表示结构拓扑的轮廓粗糙、锯齿状边界问题。结点位置的杆件密度和方向作为设计变量,杆件在单元内的密度和方向通过结点位置的数值插值得到,并且在单元内连续变化。由于没有抑制中间密度,完全不存在数值不稳定问题。类桁架连续体由于与杆系结构有明确的对应关系,可以合理地转化杆系结构。选择杆件分布场中的部分杆件可以形成杆系结构。如果再进一步作尺寸和形状优化就可以得到最终的拓扑优化结构。 相似文献
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应用热力学方法探讨了298K时钾长石、钠长石、霞石在碱性环境下的碱析出能力,并对这些含碱矿物分解析出的碱对碱-硅酸反应(ASR)的影响进行了讨论.结果表明,由于矿物类型不同,碱性环境下的分解难易程度不同,其中霞石较易分解,钠长石次之,钾长石较难分解;随着溶液pH值增大,除霞石分解能力略有降低外,钠长石、钾长石的分解能力均显著提高.此外,通过加速实验方法证实含有霞石、钠长石、钾长石矿物的集料在使用低碱水泥条件下能显著促进ASR膨胀. 相似文献
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A. Iranmanesh A. Kaveh 《International journal for numerical methods in engineering》1999,46(2):297-311
In this paper a neurocomputing strategy is presented which combines data processing capabilities of neural networks and numerical structural optimization. In this strategy, an improved counterpropagation neural network is used. Two artificial neural networks are trained, one for the constraints and the other for the gradients of the constraints and structural optimization is accomplished by using these nets. All required parameters such as weight matrices in the neural networks or the gradient computations are automated in this neuro‐optimizer strategy. Numerical examples are included to demonstrate the accuracy of the results. Copyright © 1999 John Wiley & Sons, Ltd. 相似文献
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介绍了人工神经网络的二阶优化算法研究现状,对人工神经网络损失函数的KSD (Krylov Subspace Descent)优化算法进行改进。针对KSD算法中采用固定不变的Krylov子空间维数的方式,提出了Krylov子空间维数根据计算结果自适应改变的MKSD (Modified KSD)算法,并给出了利用MKSD、KSD以及SGD (Stochastic Gradient Descent)优化算法对不同问题的全连接神经网络进行训练的数值算例。计算结果说明MKSD的算法对比于其他算法具有一定的优势。 相似文献
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采用热压成型的方法制备掺杂粉煤灰、以无机纤维为增强体的摩擦材料,并测试其磨损性能。选用BP神经网络建模,以摩擦材料配方、制备工艺、测试条件为输入变量,以材料的磨损率为输出变量,采用L-M算法对网络进行训练。结果表明,模型可以对材料磨损性能进行有效的预测,可用于配方及制备工艺的优化。 相似文献
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人工神经网络多目标法用于辅助V－PTC材料研制 总被引：1，自引：0，他引：1
采用人工神经网络方法进行Ｖ－ＰＴＣ材料设计的多目标优化。应用偏相关指数和目标拟合变量的方法探寻具有较好性能样品的工艺条件和配方参数，并据此设计合成了数个优化样本，经实验测试达到了设计要求。 相似文献
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Sanaa A. A. Ghaleb Mumtazimah Mohamad Syed Abdullah Fadzli Waheed A.H.M. Ghanem 《计算机、材料和连续体（英文）》2022,71(3):4749-4766
Spam has turned into a big predicament these days, due to the increase in the number of spam emails, as the recipient regularly receives piles of emails. Not only is spam wasting users’ time and bandwidth. In addition, it limits the storage space of the email box as well as the disk space. Thus, spam detection is a challenge for individuals and organizations alike. To advance spam email detection, this work proposes a new spam detection approach, using the grasshopper optimization algorithm (GOA) in training a multilayer perceptron (MLP) classifier for categorizing emails as ham and spam. Hence, MLP and GOA produce an artificial neural network (ANN) model, referred to (GOAMLP). Two corpora are applied Spam Base and UK-2011 Web spam for this approach. Finally, the finding represents evidence that the proposed spam detection approach has achieved a better level in spam detection than the status of the art. 相似文献
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Mojtaba Hemmati Maghsoud Amiri Mostafa Zandieh 《Quality and Reliability Engineering International》2018,34(3):278-297
Redundancy allocation is one of the adopted approaches that is used by system designers to improve the performance of systems. In this article, a new model and a novel‐solving method are provided to address the nonexponential redundancy allocation problem in series‐parallel systems with repairable components based on optimization via simulation approach and artificial neural network technique. Despite the previous researches, in this model the failure and repair times of the each component were considered to have nonnegative exponential distributions. This assumption makes the model closer to the reality where most of used components have greater chance to face a breakdown in comparison to new ones. The main aim of this research is the optimization of mean time to the first failure of the system via allocating the best redundant components for each subsystem. Since this objective function of the problem could not be explicitly mentioned, the simulation technique and artificial neural network were applied to model the problem, and different experimental designs were produced using design of experiment methods. To solve the problem, some metaheuristic algorithms were integrated with the simulation method. Several experiments were performed to test the proposed approach, and as the results show, the proposed approach is much more real than previous models, and also the near optimum solutions are promising. 相似文献
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