神经的

Differing from the feed-back error compensation method, the selflearning error pre-compensation method offered by the paper is based on both ANN and time series technique to obtain the error pre-compensating curve using the non-linear ANN pre-compensation model. Because of the self-learning character of the ANN, this new type of precompensation model can be self-adjusted.

与常规的反馈补偿方法不同，本文提出的自学习误差预测补偿方法，将时间序列预测与神经网络的自学习自适应优化建模技术相结合，利用神经网络非线性预测模型产生误差预补偿函数，并利用神经网络的自学习特性对所建预测模型进行修正，所以这种新型的误差补偿方法能够获得更高的误差补偿精度和控制速度，简单实用，适于推广，具有生产应用价值。

The article summaries the progress in study of cognitive impairment after thalamic stroke from four aspect which covered neuropsychological mechanism of thalami participating in cognition, the sorting of thalamic stroke, estimating method of cognitive function after thalamic stroke and the status of clinical study of thalamic stroke.

脑卒中后认知功能损害已成为临床神经心理学的研究热点，本文从丘脑参与认知神经心理的机制、丘脑卒中神经心理学分类、丘脑卒中认知功能评价方法、卒中的临床研究概况等四方面对丘脑卒中后认知功能损害的研究进展进行了总结，以期有利于丘脑卒中治疗方案和康复计划的制定，减少丘脑卒中带来的认知功能损害。

The experimental study of dog sacral nerve distribution and its influence on lower urinary tract function:For further understanding of the distribution of dog sacral nerve in bladder, urinea and penis, and in order to set up theoretical basis for selective sacral nerve rhizotomy in treating spastic bladder after spinal cord injury, 12 dogs were respectively given electrical stimulation to S 1 3 nerve roots and the contraction of musculus sphincter urethrae and detrusor urinae, the change of bladder pressure and penis erection were examined and recorded.

犬肪神经对下尿路的支曰及功能影响的实验研究：为进一步明确犬骰神经对膀耽、尿道及阴茎的支配情况，并为选择性骰神经根切断治疗脊髓损伤后痉挛性膀眈寻找理论依据，我们电刺激12条家犬的S；－／经根，通过尿流动力学检查及电生理检测来观察其逼尿肌、括约肌的收缩及阴茎勃起情况。

Especially, the dynamic neural network, which containing feedback process can directly and vividly reflect the dynamic nature of systems, thus it is attractive to use neural network technology to forecast the dynamic, non-linear exchange rate.In this paper, firstly we reviews and commentates the literatures of foreign exchange rate forecast, then introduces and analyzes from three perspectives, which are the basic theory of the exchange rate forecast, the main model and technical approach.

人工神经网络技术是一种非线性系统逼近和建模的有效工具，由于其具有良好的非线性映射能力及自适应、自学习和泛化能力，特别是包含反馈过程的动态神经网络能够更直接更生动地反映系统的动态特性，因而利用神经网络技术来对动态、非线性的汇率系统进行预测别具潜力。

However, models of human innervated and non-innervated blood vessels have seldom been reported, and the regulating mechanism of non-innervated blood vessels is not clear yet.

故研究内皮细胞对血管的调控机制，应该区分所要研究的血管有无神经支配，而目前人体有、无神经支配的血管模型少见报道，有关无神经支配血管的调控机制的报道也为数不多。

After checking the evaluating results computed in ANN, it is found that they are similar with that in the Principal Components Method. Then the predicting model is built, which of the error is found smaller than 10%. So it is fully proved that the ANN model is feasible in the studies of quantitating the water resource integrative carrying capacity in karst area.

为了验证神经网络模型的可靠性，将神经网络模型评价的结果与主成分分析法计算的结果进行比较，两种方法的评价结果大致相同；所建预测模型经检验误差小于10%，精度较高，充分说明人工神经网络模型在喀斯特地区水资源承载力的量化研究具有较强的可行性。

By using the methods given in this dissertation, stabilization of stochastic neural networks with diffusions and delays is studied. Some sufficient conditions are given to guarantee the exponential stability and stabilization of the neural networks.

运用本文研究随机反应扩散系统稳定性的方法，分析了具扩散项的随机神经网络以及对应的滞后神经网络的解的镇定性，获得了该类神经网络指数稳定与镇定的若干充分条件。

At first, the neural network is applied to quark and gluon jets produced from the Monte Carlo simulation of e~+e~- collision at s~(1/2)= 91.2GeV. From this application, some factors which will affect the performance of neural network are investigated.

首先我们利用神经网络来识别蒙特卡罗产生的正负电子在91.2GeV碰撞下生成的夸克喷注和胶子喷注，考察了一些影响神经网络判别性能的因素，以获得关于应用神经网络的一些规律性的知识。

Then the self-recurrent neural network structure, one kind of simplified structure of internal recurrent network, and the leaming algorithm, dynamic backpropogation algorithm of self-recurrent neural network, is proposed.

本文将神经网络作为传统的线性模型的非线性推广进行了分析，证实了多层前向神经网络与非线性自回归模型的等价意义，及带有反馈的循环神经网络与非线性自回归移动平均模型的等价意义。

These similarities and historical relevance feedbacks deposited in the neural network can be used in next retrievals to gain enhancement in the efficiency of the system retrieval.

提出了基于神经网络的交互式图像检索方法，系统根据用户对检索结果的评价，动态构造神经网络，描述图像之间的相似性；图像间的这种相似性以及本次检索结果可以作为以后检索的历史信息保存在神经网络中，从而提高下一次检索的效率。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。