查询词典 neural

Neural network learning process example procedure, a very good example of a document that contains five kinds of neural networks.

详细说明：神经网络学习过程的实例程序，非常好的实例文件，包含五种神经网络。

Heart malformation, such as PTA, DORV, VSD and aortic arch malformation, were detected when neural crest were taken out before they migrated into 3, 4, 6 pharyngeal gland. Interestingly, the types of malformation were related with the length of neural crest destroyed; PTA was detected if the length exceeds two somites, while DORV would be detected if the length less than two somites. These results indicate that CNCCs are very important to the conotruncal development.

研究发现，如果在迁移之前切除散发到第3、4、6咽弓的神经嵴细胞，就会出现永存动脉干、主动脉骑跨、右室双出口、主动脉弓畸型和室间隔缺损等心血管畸形，且切除的长度与畸形的种类相关，如切除长度大于两个体节可产生永存动脉干，切除长度小于两个体节则产生右室双流出道，由此可见，心脏神经嵴细胞对于心脏圆锥部的发育意义重大。

In order to improve the lateral ride quality of train without endangering safety,this paper illustrates a lateral semi-active suspension system based on the skyhook rule.A controlling model of the proposed system is then put forward based on nonlinear neural networks,with a neural identifier and a controller being also designed.

为了在保证行车安全的前提下，提高列车的横向平稳性能，提出一种基于天棚原理的列车横向半主动悬挂系统，并建立了半主动悬挂非线性神经网络控制模型，设计了神经辨识器和控制器。

So two phase checking algorithm based on BP neural network is presented to realize attributes matching,in which attributes are re- quired to be categorized according to data types,and the BP neural networks are trained several times respectively using the categorized attributes,and the final attributes matching resuits are the intersection of every time matching results.

该算法能有效地消除不一致信息的干扰，降低神经网络的规模，并且可以实现不同数据类型的属性集之间属性匹配过程的并行计算。实验结果显示本文提出的方法能明显地提高系统的运行效率、属性匹配的查准率和查全率。

The dissertation recommends some kinds of methods and measures: such as adjusting the network configuration, connecting value and threshold value by the total value of all stylebooks, adding part of the adjusting value of the last time to the current adjusting value, transforming the stylebooks to standard value, optimizing activation function, appending threshold value to the putout of the nerve cell and so on. Simultaneity, the author brings forward a new method to optimize the model of artificial neural network . It is using the automatically adaptive genetic algorithm to make the network configuration, connecting value and threshold value of artificial neural network better. The method can make the model better and improve the simulating effect and forecasting precision.Genetic algorithm is an arithmetic based on evolution and genetics used to search the optimization .

本文针对人工神经网络应用中存在的上述问题，介绍了各种改进方法与措施：如用所有样本的总效果对网络权值矩阵和阈值向量进行调整、调整量中加入动量项、标准化训练样本数据、优化激励函数以及给神经元的输出值添加偏置量等；同时还提出了一种新的优化人工神经网络模型的方法，即采用自适应遗传算法对人工神经网络模型的网络结构和权值阈值进行全局优化搜索，以提高大坝安全监测人工神经网络模型的拟合成果和预测精度。

Compared with the prior art, the invention has the advantages that:(1) the active neural microelectrode integrates signal collection/processing and stimulation function in the same preposed signal processing chip, which can reduce the disturbance of environmental noise, inhibit the attenuation caused by parasitic capacitance, filter polarized voltage and greatly improve the speech-noise ratio and stability of the whole microelectrode; and (2) the active neural microelectrode integrates digital logic control and stimulation circuit in the chip, so as to reduce the amount of output leads and simplify the complexity of subsequent circuits.

本发明相对于现有技术具有如下突出特点：(1)将信号的采集，处理以及刺激功能集成在一个前置信号处理芯片上，不仅减少了因为环境噪声的干扰，而且很好的抑制了寄生电容引起的衰减，滤除了极化电压，大大增强了整个微电极的信噪比和稳定性；(2)同时，将数字逻辑控制和刺激电路也集成在此芯片上，减少了输出引线的数目，简化了后续电路的复杂性。

Nowadays, distributed intrusion detection system research based on the technology of agent and neural network becomes hotspot, software agent technology is considered as a very tool to develop intrusion detection system, especially its characteristic of Autonomy, Social Ability and Adaptability, and neural network technology gains more and more focus in respect that its pre-estimation to unknown network activities.

目前，基于Agent和神经网络技术的分布式入侵检测系统的研究成为业界热点，软件Agent技术因其所具有的良好的自治性、社会性、适应性，被视为在入侵检测系统中极为有用的技术之一，而神经网络技术则因其对未知网络行为的预判性，在入侵检测系统领域得到越来越多的关注。

The research of neural network realization can be traced back to 60's. It processes along with two avenues: fully hardware realization and virtual realization. Scientists have developed many neurochips supporting fully hardware realization. Neurocomputing simulating supporting environments, neurocomputing accelerators and parallel neurocomputing systems also have been developed for virtual realization of neural network.

神经网络实现技术的研究可以追朔到六十年代，该项研究一直是沿两个方向开展，即神经网络的全硬件实现和神经网络的虚拟实现，科学加们也研制出了许多支持神经网络全硬件实现的神经芯片，以及支持神经网络虚拟实现的各种神经计算软件模拟环境、加速器和并行神经计算机系统。

Firstly we propose a layered model of neural computing systems, and conclude the requirements of neural computation to neurochip.

首先作者提出神经计算系统的层次模型，系统、全面地分析神经计算对神经芯片的需求。

Neurochip is a kind of biochip by using microelectrode array to achieve information transmission between neural cells and electronic devices, as well as an interface of artificial neural compensation device.

经芯片是一种利用微电极阵列实现神经细胞与电子器件信息传导的生物芯片，是人工神经代偿器件的接口。

Diabetes is a social disease that affects several million people worldwide.

糖尿病是一个社会性疾病，全世界有数百万人罹患此病。

I'll call you on Friday to see if we can reschedule our luncheon meeting at your convenience.

我星期五会给您打电话在您方便的时候我们重新安排我们的午餐约会。