1.
The Dot Coverage Prediction of the Inkjet Printing and Dot Gain Study
喷墨印刷中的网点面积率预测及网点扩大研究
2.
An Exploiture of the Checkout System on Multicolor Micro-dot Area Rate;
彩色显微网点面积率检测系统的开发
3.
Research of dot percentage checking of printing product based on digital image processing
基于数字图像处理的印刷品网点面积率检测研究
4.
The Research and Design of Printing Plate Mesh Point Area Rate Detection Based on ARM System
基于ARM系统的印版网点面积率检测的研究与设计
5.
Percentage dot area: In an unit area, the percentage area of a half-tome that is covered by dots.
网点百分率:以单位面积计，黑实的半色调网点所占的百分率。
6.
Finally the thesis contrasted and validated the dot area results calculated by two methods which are used by this paper for calculating dot area coverage.
对两种网点面积率计算方法计算得到的网点面积率进行了对比验证。
7.
Research on the Relationship between Dot Expansion of Digital Proofing and the Calibrated Dot Area Percentage
喷墨数码印刷品网点扩大值和标定网点面积率间关系的研究
8.
The Calibration Method of ~(131)I Detecting Efficiecncy Based on Area Weight for ~(133)Ba Standard Point Source
基于点源~(133)Ba刻度~(131)I探测效率的面积加权法
9.
Research on prediction of area of estate sales based on nerural network;
基于神经网络的房屋销售面积预测研究
10.
Predicting Model of River Bed Form Based on Probabilistic Neural Network
基于概率神经网络的河床床面形态预测模型
11.
3) The dot abrasion rate was opposite to the dot percentage and the dot abrasion quantity direct ratio the circle of the dot.
3)网点的磨损率与其面积百分比成反比； 网点磨损量与网点的周长成正比；
12.
Predict Gas Holdup and Volumetric Gas-Liquid Mass Transfer Coefficient of Slurry Bubble Column Reactor by Means of Neural Network
运用神经网络预测浆态床反应器气含率和体积气液传质系数
13.
Predicting Protein-Protein Interaction Sites from Sequence Profile and Accessible Surface Area
基于序列剖面和可及表面积的蛋白质相互作用位点的预测
14.
The calibration method of ~(131)I detecting efficiecncy in Iodin-box based on Area weight for ~(133)Ba standard point source
~(133)Ba点源面积加权法刻度碘盒中~(131)I探测效率的方法研究
15.
STUDIES ON FORECASTING THE ARABLE LAND AREAS OF KAI COUNTY IN RESERVOIR REGION OF THREE GORGES BASED ON BP NERVE NETWORK;
基于BP神经网络的三峡库区开县耕地面积预测研究
16.
APPLICATION OF BP NEURAL NETWORK IN THE PREDICTION OF URBAN CONSTRUCTION LAND AREA--A CASE STUDY OF JIANGSU PROVINCE;
BP神经网络在城市建成区面积预测中的应用——以江苏省为例
17.
A Study of Improving Precision on Forecasting the Disaster Area of Crops Based on Artificial Neural Network --Taking the Disaster Area of Crops in Xiangfan City for Example;
基于神经网络的受灾面积预测精度研究——以襄樊市小麦条锈病发病面积为例
18.
This line si high efficeency, low in erergy consumption, compact in structure and easy to operate.
具有占要面积小、率低、率高、能可靠、护方便等优点。