神经板

两栖类早期发育中一内胚层形成和神经板发育之垂直的和平面的诱导作用

Vertical and planar induction in early amphibian development during MESO-ENDODERM formation and neural plate development

在胚胎发育初期，FGF可诱导原肠胚形成期间的细胞迁移和神经板前后体轴的建立；

FGF control cell migration and establishment of the anterior-posterior body axis of the neural plate during gastrulation .

COA1突变的纯合子死于胚胎期10.5天左右，表现出翻身的延迟和神经板发育不全。

Homozygous mutant died at around E10.5 , displayed delayed turning and hypoplasia of neuroepithelium .

在第三脑室室管膜和脑基底神经胶质板上也存在VP阳性神经元。

The VP like cells were also present in the ependymal of the third ventricle and the glial lamina in the basal surface of the brain .

模糊神经网络板形模式识别的研究

The Research on the Fuzzy Neural Network Method of Flatness Pattern Recognition

人工神经网络板形板厚综合控制

The complex control of the strip flatness and gauge using artificial neural network

视神经筛板板层内段早期表现为水肿、晚期表现为视神经萎缩。

Optic nerve edema in early stage and atrophy in later stage can be observed .

神经髓鞘板层结构不清，部分可见板层松散、断裂，神经纤维排列紊乱，萎缩。

The nerve medullary sheath had an unclear layer structure with loose and fractured layers ; the nerve fiber had inordinate and atrophic arrangement .

出现较多有髓纤维与少量无髓纤维，有雪旺氏细胞包裹，移植神经的板层结构逐渐清晰。

The transplanted nerve has integrity structure , and have schwann cell encapsulated , more myelinated nerve fiber and a small quantity unmyelinated nerve fiber .

基于BP神经网络的板料折弯件下料尺寸的计算方法

AUTOMATIC PROGRAMMING FOR PLATES BEND TECHNOLOGY Research of the bending part blank calculation based on a back-propagation neural network

基于动态RBF神经网络的板形板厚综合控制仿真研究

Simulation research on strip flatness and thickness control based on dynamic RBF neural networks

基于Hopfield神经网络的板形预测控制模型

The flatness predictive control model based on Hopfield Neural Networks

为了提高板凸度在线模型预测精度，提出了一种基于模糊聚类BP神经网络的板凸度模型影响系数的优化方法。

A new method is proposed to optimize plate crown model basis on BP neural networks to improve the control accuracy of crown predicted .

最后，应用RBF神经网络进行板形板厚的综合控制，建立了双输入、双输出的控制系统；

The last the shape and gauge are controlled synthesize by the RBF neural network , a two-input and two-output system is built .

结果表明，应用基于BP神经网络的板凸度闭环反馈控制系统后，板凸度板形质量有了明显的改善，证明了该模型的正确性与实用性。

The results show that the application of convexity closed-loop feedback control system based on BP neural network has significantly improved crown shape quality , and prove the correctness and practicality of the model .

基于神经网络的板凸度影响系数优化

Optimization of the influence coefficient of strip crown by neural network

一种改进的基于神经网络的板形缺陷识别方法

An improved method of sheet shape defect identification based on neural network

基于神经网络的板料毛坯设计方法研究

Research on methods of sheet blank design based on ANN

变结构神经网络在板形信号模式识别方面的应用

Pattern Recognition of Shape Signal by Variable Structure Neural Network

自适应模糊神经网络在板料弯曲回弹预测中的应用

Application of ANFIS to Springback Prediction in Sheet Metal Bending

基于人工神经网络的板料弯曲成形工艺优化及回弹分析

Process parameter optimization of sheet metal bending based on artifical neural network

基于神经网络的板形信号模式识别方法的研究

Research on Shape Signal Pattern Recognition Based on Neural Network

基于人工神经网络的板形缺陷识别

Sheet Shape Defect Identification Based on Artificial Neural Networks

基于免疫算法的模糊神经网络在板厚板形控制中的应用

Application of Fuzzy Neural Network Based on Immune Algorithm ( IA ) to AGC-ASC System

骨骼肌中神经纤维髓鞘板层结构分离，崩解，髓鞘内神经纤维溶解。

In skeletal muscle nerve fibers myelin lamellar structure present as isolation 、 collapse , and intrathecal nerve fibers present as Dissolved .

基于BP神经网络的热轧板带质量模型

The quality predication of hot rolling production base on BP networks

最后，分别采用基于小波变换系数和小波包变换对板形缺陷进行特征提取，并结合BP神经网络实现对板形缺陷的分类识别。

Finally , two methods were adopted , based on wavelet transform coefficients and wavelet packet , combined BP neural network methods , the defects are classified and identified .

但纳络酮+吗啡组损伤坐骨神经后脊髓Ⅱ板层FRAP阳性反应物面积较吗啡组的明显减少，与生理盐水组的FRAP阳性反应物面积相似。

The FRAP positive reactive areas were similar at spinal lamina ⅱ after injured sciatic nerve in naloxone + morphine group and vehicle group .

10min后用3%氯普鲁卡因0.3ml依次3次阻滞大鼠坐骨神经，用热板、触觉复位、单足跳和肌力测试记录阻滞时间。

Three sequential sciatic nerve blocks were performed with 0.3 ml of 3 % 2-chloroprocaine 10 min later . Duration of block was recorded with hot-plate , tactile placing , right response and motor strength tests .

神经网络在电路板无损检测系统中的应用

Application of Artificial Nerve Network to Circuit Board Nondestructive Test System