查询词典 neural

On the basis of sensitivity analyses using the PROSAIL model, the present study demonstrates an approach that uses a neural network based on image classification incorporated in PROSAIL for accurate retrieval of LAI. By including the soil reflectance index in the original PROSAIL model to take the place of soil background reflectance parameters that are difficult to determine, specific neural networks are constructed corresponding to individual types of vegetation cover.

在PROSAIL模型敏感性分析的基础上提出了一种基于影像分类的神经网络反演方法，引进了土壤反射指数用于替代原模型中难以确定的土壤背景反射参数，分别针对不同植被类型建立各自的神经网络，对经过大气纠正后的Landsat ETM+影像进行了模拟实验并同野外实测LAI数据进行比较。

The results of prediction agree well with the experimental ones. It proves that the thermo-mechanical analysis、the neural network models of flow stress and microstructure as well as the numerical simulation system developed combining coupled thermal-mechanical rigid-viscoplastic FEM with BP neural networks are reliable to describe the hot back extrusion process of Ti15-3 alloy truly. The simulation system has good prediction capacity for the microstructure evolution of Ti-15-3 alloy during hot backward extrusion and after solution treatment. It can be used to replace the experiments for predicting the flowing laws and the distribution of microstructure.

由此证明，本文的热力耦合理论分析、流变应力及显微组织的神经网络预测模型以及采用三维热力耦合刚粘塑性有限元与三层向后传播的人工神经网络相结合的方法开发的Ti-15-3合金筒形件热反挤成形的显微组织数值模拟系统是可靠的，能够真实地描述Ti-15-3合金热反挤工艺过程，并对其反挤成形及固溶处理后的显微组织具有很好的预测能力，可以被用来代替预测其反挤成形规律和组织分布情况的试验。

This dissertation deeply studied the theory of CMAC neural networks from learning convergence, generalization ability and the improving of the network model and algorithm, and studied the applications of CMAC neural networks in tank barbette control system combining the national defense research project"Control Algorithm Study of Tank Barbette System". These works are meaningful to enrich the architecture of CMAC theory and to improve the performance of tank gun control system.

本文着重从学习算法的收敛性、网络的泛化能力以及对算法和模型的改进等几个方面深入研究了CMAC神经网络理论，并结合国防95预研项目"坦克炮塔系统控制算法研究"对CMAC神经网络在坦克炮塔控制系统中的应用进行了研究，这些工作对于丰富CMAC神经网络的理论体系，提高坦克炮控系统的性能具有重要的意义。

By taking advantage of the modeling capacity of neural networks, the dependence on model of inverse system is reduced. Neural networks error model is used to estimate the uncertainty to decrease the error bound set in variable structure control.

围绕这两个目的，本文首先介绍了挠性结构发展的现状，以及所面临的主要控制问题和采用的主要控制方法，分析了各自的优势和存在的不足。

The main reason for using neural network in time series analysis and system identification is that a trained neural network has the capability to approximate a arbitrary bounded continuous function.

在时间序列分析和系统辨识中，利用神经网络的一个主要原因就是前向神经网络逼近任意连续有界函数的能力。

A novel neural network model, named delayed standard neural network model, is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.

摘要提出一种新的神经网络模型---时滞标准神经网络模型，它由线性动力学系统和有界静态时滞非线性算子连接而成。

Methods : The neural retina was isolated from RPE by enzyme one containing 220u/ml hyaluronidase and 0.1% trypsin, later the RPE cells was isolated from the Bruch"s membrane by enzyme two containing 0.25% trypsin, then the resembled RPE cells was injected into the host"s subretinal space with a special equipment after producing an artificial bleb detachment of neural retina.

用酶Ⅰ(含220u/ml透明质酸酶和0.1％胰蛋白酶)分离视网膜神经上皮层与RPE之间的联系，再用酶Ⅱ(含0.25％胰蛋白酶)将RPE从玻璃膜上分离下来获取悬浮的RPE细胞，用特制的移植针头通过人为造成的局限性视网膜脱离区将其移植入受体视网膜下间隙。

Neural Plasticity is a theory that neural cell can change its ability and state when the outside environment is changed.

可塑性是指在外界环境条件改变的情况下，诸如生长、发育、疾病与外伤，组织细胞有能力改变其自身功能状态。

In addition, we demonstrate the non-parametric performance of BP neural network by using Liapunov Central Limit Theorem, and give the structure and principle of BP neural network detector. Meanwhile, a set of computer simulation results are also given in the paper.

另外，我们还通过Liapunov中心极限定理证明了BP神经网络的非参数特性，并以此为依据提出了检测声呐信号的BP神经网络检测器的结构及原理，同时也提供了一系列计算机仿真实验的结果。

1、Neural network correlated with LIFG and RIFG exists in normal subjects in resting-state,which might be the neural foundation in retaining the normal language function;2、The left fusiform gyrus,bilateral medial frontal gyrus and right anterior cingulum in aphasia patients after stroke showed low degree correlation,that might be one of the mechanisms of aphasia;3、The brain regions showed positive correlation with RIFG in aphasia patients only exist in right hemisphere in resting-state as well as which exist in bilateral hemisphere in normal subjects,suggested that RIFG is out of correlation with the left hemisphere in aphasia patients;4、The left thalamus showed positive correlation with RIFG only in normal subjects, inferred that the left thalamus might be an important mesomerism structure in the correlation of bilateral hemisphere;5、Left insula showed stronger positive correlation with RIFG in normal subjects than that in aphasia patients,suggested that dominant hemisphere insula is important in retaining in normal language function.

1、正常人在静息状态下即存在与LIFG和RIFG具有相关性的神经网络，该网络可能是维持正常语言功能的神经基础；2、脑梗死后运动性失语患者左侧梭状回、双侧额叶内侧回、右侧前扣带与LIFG的连接程度的减低可能是运动性失语的发生机制之一；3、与RIFG正相关的脑区在对照组为双侧半球分布，而在患者组仅出现在右侧半球，说明患者组RIFG与左侧半球的连接中断；4、RIFG与左侧丘脑的正相关性仅出现在正常对照组中，推测左侧丘脑可能是联系两侧半球功能区的重要中介结构；5、对照组与RIFG正相关性明显高于患者组的脑区位于左侧岛叶，说明优势半球岛叶对维持正常语言功能具有重要作用；第二部分脑梗死运动性失语患者语言恢复机制的静息态fMRI初步探讨目的：运用fMRI技术，采用种子点方法在静息状态下分析脑梗死运动性失语患者不同的恢复阶段语言功能连接方式。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。