The researchers grew grafts of cells from "stage 3" chick embryos, before the neural plate formed, in non-inducing cultures.
研究者们在神经板形成前，从“阶段3”的鸡胚种移植了一些细胞，种植在非诱导性培养物中。
The invention is of 'T'-shape, including a microplate, covered on the seam after cutting the skull or the neural plate, and is vertical with the seam.
本发明呈“T”型，包括一微型板，覆盖在颅骨或椎板切除后的骨缝上，并与骨缝垂直；
They place each slab onto a plate that sits on a slurry of dry ice, freezing the neural tissue to preserve it.
他们将每一片切片放入一个盘子并置于干冰之上。冷冻神经组织帮助进一步的保存。
The standard samples of rectangle thin plate including crack fixed at four sides is set up with computer imitation technic, and the crack diagnosis system based on neural network is developed.
采用计算机仿真技术建立了四边夹支矩形板裂纹损伤的标准谱 ，并研制出相应的基于人工神经网络的裂纹诊断系统。
This paper presents an identification approach based on neural network method with sub-regions to identify damages in a rectangular plate using the LM optimized algorithm.
通过引入LM优化算法，针对矩形薄板中对称结构的损伤识别问题，提出了一种基于神经网络的分区域分步识别方法。
In this paper, the system of license plate location and character segmentation, feature extraction, BP neural network classifier etc modules have had a more detailed research.
本文对系统中的车牌定位和字符分割、特征提取、BP神经网络分类器等模块进行了较详细的研究。
License plate location; Character segmentation; Feature extraction; Character recognition; Neural network.
车牌定位；字符分割；特征提取；字符识别；神经网络。
A kind of segmentation method of vehicle license plate characters based on neural networks and color feature is presented in this paper.
论文提出了一种基于神经网络和颜色特征的车牌字符分割方法。
Does some research on detecting the license Number plate base on improved BP neural network.
采用改进的BP神经网络，对汽车图像中车牌定位的方法进行了研究。
On the basis of measured data of the 3000mm plate mill, the predicting model for plate rolling load of finishing stand has been developed with artificial neural network method.
采用人工神经网络方法，以生产实测数据为基础，建立了高精度的中厚板精轧机轧制力预报模型。
Recognition system of license plate based on rough set and neural network is consists of 2 parts for orientation and character recognition of license plate.
基于粗集（RS）理论和神经网络的车辆牌照识别系统由车牌定位和字符识别两部分组成。
OCR based on neural network is further studied in this paper. Method used for recognizing the license plate is give and a three-layer BP network is constructed.
对基于人工神经网络的文字识别(ocr)进行了深入的研究，给出了用于车辆牌照识别特征的提取方法，构建了一个三层BP网络用于识别。
License plate recognition, neural network algorithm, the recognition rate as high as 95 percent, to identify less than 80ms.
详细说明：车牌识别，神经网络算法，识别率高达95%，识别时间低于80ms。
License plate recognition, neural network algorithm, the recognition rate as high as 95 percent, to identify less than 80ms.
详细说明：车牌识别，神经网络算法，识别率高达95%，识别时间低于80ms。
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