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   

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   

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   

基于无线传感网络隧道亮度信号采集系统的研究     

廖江  郑伟  李良荣 《山东饲料》2015,(4)

亮度信号是高速公路隧道节能照明控制系统必须检测的物理量。本文基于zigbee的技术特点，设计了一款基于无线传感网络的隧道亮度信号采集系统。系统的传感器节点负责亮度信号的采集，经CC2530处理发送，通过逐级跳转的方式把数据传输到协调器。协调器通过RS232串口与灯具控制器通信，以此实现对亮度信号的实时采集和可靠性传输。通过实验表明，该系统达到了设计的目的，并适用于高速公路隧道节能照明控制系统。  相似文献   

物流企业的社会网络特征与企业间信任的构建     

车文辉 《湖南农业大学学报(自然科学版)》2011,(4):107-112

第三方物流企业较之其他企业显示出较强的网络特征，企业之间的社会关系网络及其信任构建对企业的生存和发展具有重要意义。本文通过实证研究发现，物流企业信任的形成与企业社会网络的形成过程密切相关，企业组织社会网络的连接对组织信任的构建产生着重要影响。信任加速了企业获取资源的速度和质量，资源获取是企业网际互动的目的和信任的结果。  相似文献   

INTERCONNERCTION BETWEEN SUPER-MINICOMPUTER ETHERNT E     

Li Hua Wu Zhongfu Chen Dazhi 《保鲜与加工》1989,(2):35-42

  相似文献   

Artificial Neural Networks Models for Flow Stress during High Temperature Plastic Deformation of Al-Li Alloy     

LIU Xue-feng  WANG Ling-yun 《保鲜与加工》2001,(2):68-71

Using gained experimental data to develop the models of stable flow stresses at high temperature plastic deformation by statistical methods for alloy materials, precision of the models is poor and at the same time the processes of modeling are complicated with great workload. On the basis of the data obtained on Gleeble-1500 Thermal Simulator,the predicting models for the relation between stable flow stress during high temperature plastic deformation and deformation strain, strain rate and temperature for 1420 Al-Li alloy have been developed with BP Artificial Neural Network method. The results show that the model on basis of BPNN is practical and it reflects the real feature of the deforming process. It states that the difference between the real value and the output of the model is in order of 5 percent.  相似文献   

Multiple Layer BP Neural Network for Fuzzy Calculating     

Zou Xiaoji  Zang Anbang  Zou Jiaqi 《保鲜与加工》1996,(3):57-60

The FCBP(Fuzzy calculating BP) algorithm which is proposed by this paper hasovercome the sensitivity for samples,reduced the number of input layer's samples,lightened the burden of input layer.it is suitable to fuzzy inference and pattern recognition.  相似文献   

Learning the BN Structure Based on the Sum of Mutual Information     

XING Yong kang  SHEN Yi dong 《保鲜与加工》2001,(1):78-83

The Crossing Entropy is defined to scale the similar level of two probability distribution. In many papers on learning BN structure,the Crossing Entropy was used as an indicator of measuring the learning accuracy of an algorithm.The known scoring metrics for learning BN structure is analyzed in this paper,then a new scoring metrics Sum of Mutual Information is proposed based on the information theory.At last,two algorithm for learning BN structure by SIM is represented.  相似文献   

Clustering Routing for Wireless Sensor Networks     

HE Li-yuan  LI Yong-ming  WANG Quan-di 《保鲜与加工》2007,(1):50-53

In wireless sensor networks that consist of a large number of low-power sensors.Because the sensor's energy is limited,one of the main design is to obtain long system lifetime.The authors firstly analyse LEACH and LEACH-C clustering routing for wireless sensor networks.Aimming at their shortcoming,they present a new routing LEACH-NEW.This routing uses multi ho Pinstead of one hop.At last,they use NS2 to simulate them.Simulation show results that new routing exhibits noticeably longer system lifetime than rouing LEACH and LEACH-C.  相似文献