Prediction of baking results from farinograph measurements by using stepwise linear regression and artificial neuronal networks     

《Journal of Cereal Science》2017

In an effort to extract additional data from farinograph experiments a model was developed to simulate the measurements and correlate the parameters of the model with results from baking tests. This additional information can be used in bakeries to predict the baking properties of the flours and adjust the recipes to maintain a constant product quality. For this eight different flours were characterized with a farinograph and 13 different results from baking experiments. An approach with five nonlinear differential equations was able to model the farinograph measurements very well (average R² = 0.995 ± 0.005). While a stepwise multilinear regression only showed weak correlations in cross validation between a single parameter of the model and the baking volume (R² = 0.745) and the volume yield (R² = 0.796) respectively, the artificial neuronal network was more successful. For the baking weight (R² = 0.926), the dough yield gross (R² = 0.909) and net (R² = 0.913) strong correlations were found. A good correlation for the baking volume (R² = 0.853) was also determined, while the volume yield showed comparable results to the linear regression (R² = 0.792).  相似文献   

基于卷积神经网络的拖拉机工况识别     

孔庆好  吐尔逊·买买提  赵梦佳 《中国农机化学报》2021,42(11):144

农机工况识别在细化农机作业状态和帮助掌握区域污染物排放趋势方面有着重要的研究价值。基于拖拉机不同运行状态下的行驶速度、发动机转速以及实时油耗等时间序列,首次提出将图像识别方法引入到拖拉机工况识别中的思路,并分别应用参数优化的支持向量机与卷积神经网络对实际作业拖拉机工况进行研究。结果表明:(1)基于参数优化的支持向量机可以较好地实现样本点的工况识别且识别准确度达到99.851 9%,但无法实现农机工况的连续性识别,同时无法对农机工况转换阶段进行有效识别。(2)以拖拉机运行速度与发动机转速等信息构建样本图像来描述农机工况变化的数据表达,并在此基础上应用卷积神经网络可以有效实现农机工况的连续性识别,且识别准确率可以达到93.3%。本研究在农机工况识别方面具有一定参考价值,并为后续农机不同工况下区域污染物排放研究提供技术支持。  相似文献   

The effects of density and artificial substrate on intensive shrimp Litopenaeus vannamei nursery production     

《Aquacultural Engineering》2020

Recirculating aquaculture systems (RAS) can be installed indoors, allowing year-round production of tropical animals in nearly any climate. A nursery phase is commonly used in Litopenaeus vannamei production since it allows for enhanced biosecurity and better quantification of animals while reducing space requirements. However, it is unclear whether animal density and inclusion of artificial substrate may improve shrimp performance during the nursery phase. In this experiment, we compared shrimp production parameters in two stocking densities with or without the use of an artificial substrate by creating four treatments: low-density LD; 1500 PL/m⁻³, low-density with substrate LDS, high-density HD; 3000 PL/m⁻³), and high-density with substrate (HDS). The LDS and HDS treatments included 0.46-m² of high-density polyethylene 2.5-cm mesh as a substrate, which increased the tank surface area by 21 %. Each treatment was randomly assigned to four 160-l culture tanks, each with a biofilter. The shrimp had an initial weight of 4 mg and were grown for 50 days. The low-density treatments had significantly higher dissolved oxygen (DO) and pH than the high-density treatments (P ≤ 0.001). Specifically, LDS had the highest DO and pH followed by the LD, HD, and HDS treatments, respectively. High-density treatments had significantly higher NO₂-N levels than low-density treatments during week 2 of the experiment when an unusually high concentration of nitrite was observed. FCR was significantly lower in both low-density treatments than in high-density treatments. At harvest, the total biomass (kg m⁻³) was significantly higher in high-density treatments than in low-density treatments (P ≤ 0.001), and the HDS treatment had a significantly greater biomass output than HD. Producers should consider artificial substrate and higher densities during nursery production to maximize shrimp production; however, the effects on water quality should also be taken into account.  相似文献   

人工神经网络在电力系统短期负荷预测中的应用     

胡晖  杨华  胡斌 《湖南农业大学学报(自然科学版)》2004,31(5)

根据电力系统短期负荷变化的特性，提出BP模型在实际负荷预测应用中的方法和步骤．对BP网络结构、样本空间、收敛性等作了有针对性的研究．结果表明：多层神经网络应用于电力系统短期负荷预测是可行和有效的．其预报结果比传统的负荷预测方法更准确、经济、效果更好．  相似文献   

扁穗牛鞭草人工草地中空心莲子草杂草防除效果研究   总被引：3，自引：0，他引：3  

徐胜  张新全  李建龙 《中国草地学报》2003,25(2):34-37

利用水花生净除莠剂可有效地防除扁穗牛鞭草人工草地中的杂草空心莲子草,平均株防效达26.7%～99.8%,并且在较高防效下药剂对扁穗牛鞭草较为安全。在空心莲子草杂草生长盛期,14%的水花生净乳油以浓度为675ml/hm2～900ml/hm2、各处理对水600ml的防除效果最佳,可达到100%。综合考虑,以525ml/hm2～675ml/hm2的浓度为宜。  相似文献   

落叶松人工林林分径级结构的研究     

仲秋维  于常玲 《林业科技》1996,21(1):17-19

本文描述了落叶松人工林抚育后径级结构特征。试验表明，抚育后的林分在一定密度条件下，其密度遵从Ｗｅｉｂｕｌｌ分布，并能保持相当长的时间不变；其密度较大，Ｗｅｉｂｕｌｌ参数值在２～３间变动，ｂ值在６～８间变动；稀疏时不能用Ｗｅｉｂｕｌｌ分布模拟。  相似文献   

用单层分化法进行胚胎干细胞神经分化的研究     

蒙超衡  韦精卫  黄奔  韦力  石德顺 《中国兽医学报》2004,24(5):494-498

用单层分化法研究了 ES细胞从 0～ 316 h(第 14天 )的神经分化过程。无饲养层培养的 ES细胞在无血清的N2 B2 7培养基中开始神经分化。从 72 h开始 ,神经外胚层的特异性转录因子 Sox1表达 ,在克隆的边缘逐渐出现向外迁移的细胞 ,形状呈圆形或椭圆形 ,有 1～ 2个细胞突起。在 191h(第 8天 )之后 ,细胞可迁移至克隆边缘的 2 0 0 μm之外 ,这些有细长突起的细胞表达神经元特异性蛋白 Tau。以后 ,迁移细胞的突起开始交叠成网状。 316 h(第 14天 )时 ,细长的纤维可跨越在不同的克隆之间 ,长达上千微米。此时 ,免疫染色的结果表明 ,在克隆的中央有较多的圆形 Nestin阳性细胞 ,而克隆的边缘有大量的 β- tubulin 阳性细胞 ,它们交织成复杂的网状图像。阶段性表达基因的表达时序研究表明 ,ES细胞的特异性转录因子 Oct4开始减弱时 ,Sox1表达开始 ,此时细胞由全能状态进入早期神经分化状态 ;Tau的表达是 Sox1表达的下游事件。这一时序与胚胎发育中神经发生的时序相符。单层分化法能直观地展示 ES细胞的神经分化过程 ,可作为研究细胞分化、胚胎发育及药物筛选的体外模型  相似文献   

电流模式神经网络     

王建东  洪毅 《湖南农业大学学报(自然科学版)》1993,20(5)

把电流模式电路引进了神经网络理论，提出了一种用电流模式电路构成的神经网络阈值处理单元，并由此构成了电流模式Ｈｏｐｆｉｅｌｄ神经网络，此网络中信号都是以电流的形式出现的。  相似文献   

家蚕种茧育稚蚕人工饲料育的比较试验   总被引：2，自引：2，他引：0  

冯建琴  陈端豪  姚耀涛 《蚕桑通报》2003,34(1):30-31

通过对日系种茧育稚蚕人工饲料育繁育的一代杂交种进行比较试验。探讨人工饲料在种茧育上的应用可能性。  相似文献   

黑鹳F2的人工孵化及育雏的研究     

刘淑华  白晓杰  梁卫峰 《野生动物》2005,26(6):48-50

2001～2004年在齐齐哈尔市龙沙公园对黑鹳F2的5只雏鸟的人工孵化温度和湿度进行记录。并对人工育雏成活的雏鸟的一系列生长指标如：体重、体长、喙长、翅长、跗跖长和尾长等进行测量，探讨黑鹳体长、体重等生长指标生长变化规律。结果表明：黑鹳卵的前中期（1～29d）孵化温度为37．7℃，湿度为55％，后期（29～31d）出雏温度为37℃，相对湿度65％；育雏箱的温度前7d为37℃，以后以每天0．5℃幅度逐渐降低，箱内湿度保持在55％，20日龄后可在室温下饲养；黑鹳F2雏鸟各生长指标的增长呈Logistic曲线。  相似文献