近神经的

A mathematical relation model between liquor near infrared spectrum and liquor alcoholicity was established by use of the combination of discrete cosine transformation and BP neural networks, which was a new approach for rapid liquor alcoholicity determination.

采用近红外光谱的离散余弦变换和BP神经网络相结合，建立了白酒近红外光谱与其酒精度之间的数学关系模型，为快速检测白酒的酒精度提供了一种新的方法。

In this thesis, we describe some important properties of the dynamic behaviors of several class of time-discrete models of two neurons, which includes stability, asymptotic stability, the existence and attractability of periodic solutions, Flip-bifurcation and Neimark-Sacker-bifurcation.

本学位论文对几类二元离散神经网络模型的动力学性态进行了定性分析，讨论了这些神经网络模型的稳定性、渐近稳定性、周期解的存在吸引性、Flip-分岔和Neimark-Sacker-分岔，全文共分五章。

In this thesis, we describe some important properties of the dynamic behaviors of several class of time-discrete models of two neurons, which includes stability, asymptotic stability, the existence and attractability of periodic solutions, Flip-bifurcation and Neimark-Sacher-bifurcation.

本学位论文对几类二元离散神经网络模型的动力学性态进行了定性分析，讨论了这些神经网络模型的稳定性、渐近稳定性、周期解的存在吸引性、Flip-分岔和Neimark-Sacker-分岔，全文共分五章。

By using the Lyapunov functional method and matrix theory, the critical dynamics behavior of recurrent neural networks with nearest point projection has been investigated. It is shown that such networks are globally convergent and asymptotically stable when the networks are nonlinear non-dilatation.

基于Lyapunov泛函方法和矩阵理论，本文研究一类被广泛应用的反馈神经网络―最近点投影型反馈神经网络的临界全局动力学性态，当网络具有非线性不扩张性质时，在临界条件下得到该类网络全局收敛性和渐近稳定性。

Recently, many scientists are interested in the research of the structure and function of the pulmonary neuroendocrine cell.

近二十多年来，肺神经内分泌细胞的来源、结构、功能、激素的表达及其与肺神经内分泌肿瘤的关系越来越引起专家们的重视。

In this paper,an optimum trajectory from perilune to lunar surface is derived in terms of Pontryagin's maximum principle,which is an open-loop way.Then,an optimal nonlinear control law based on an fuzzy neural network is presented,on the basis of the optimum trajectory,due to the nonlinear mapping function of the fuzzy neural network,which is a closed-loop way.

本文根据终端着陆条件和性能指标，以由Pontryagin's极大值原理得出从近月点到月球表面的最优着陆轨迹为基础，给出一种基于模糊神经网络的非线性最优控制策略，使被控系统能够通过模糊神经网络的非线性映射能力实现某种最优的闭环制导控制。

The constant nutritional arteries of the great saphenous vein-saphenous nerve on the medial foot: Perforator at medial side of the tendon of the tibialis anterior ,it is （2.27±0.43）cm distal to the intermalleolar line .it passes across the medial side of the tendon of the tibialis anterior and pierces the deep fascia between the upper and lower bundle of the inferior extensor retinaculum with a diameter of （0.72±0.04）mm;The length of it after piercing the deep fascia is （7.3±0.6）mm,It has an emerging rate of 95%; Perforator between tendons ,it is （3.02±0.39）cm distal to the intermalleolar line;it pierces the deep fascia between the tendons of tibialis anterior and extensor digitorum longus with a diameter of (0.57±0.06)mm ;The length of it after piercing the deep fascia is （7.4±0.6）mm .It has an emerging rate of 94%; A constant distal fascial perforator pierces the deep fascia between abductor hallucis muscle and medial side of first metatarsal bone （1.97±0.23）mm distal to the first metatarsophalangeal joint with a diameter of (0.50±0.03)mm.

足内侧大隐静脉-隐神经营养血管近端来自内踝前动脉较为恒定，外径较大的穿支有：踝间线远端（2.27±0.43）cm，经胫骨前肌腱内侧、伸肌下支持带上、下束间穿出，外径(0.72±0.04)mm ，穿出深筋膜的长度为（7.3±0.6）mm，出现率为95%；踝间线远端（3.02±0.39）cm，经胫骨前肌腱与趾伸肌腱穿出，外径(0.57±0.06)mm，穿出深筋膜的长度为（7.4±1.2）mm ，出现率为94%；3远端来自交通支最为恒定，外径较大的穿支于踇展肌与第一跖骨内侧缘之间穿出深筋膜，距第一跖趾并节近端（1.97±0.23）cm，直径（0.50±0.03）mm，穿出深筋膜的长度为（6.5±0.5）mm，出现率为100%。

In chapter 2, we firstly introduce the model of a discrete-time neural network with generalized input-output function. The model generalizes the input-output function in transiently chaotic neural network to a class of continuous, differentiable and monotone increasing functions. Secondly we study the uniformly asymptotical stability of equilibrium in the non-autonomous model. Finally, several examples and numerical simulations are given to illustrate and reinforce our theories. In chapter 3, we firstly introduce a specific class of discrete-time neural network models with sinusoidal activation function.

在本文的第二章中，首先介绍了一类具有广义输入输出函数的非自治离散神经网络模型，该模型把瞬时混沌神经网络模型中的输入输出函数推广到了一般的单调递增且连续可微的函数；其次，利用Schauder不动点原理和利用Lyapunov函数逆定理依次证明了模型平衡点的存在性和该模型在时变权值下的一致渐近稳定性；最后，对几个具体的例子进行数值模拟，数值模拟的结果更好地说明了我们的结论。

The model generalizes the input-output function in transiently chaotic neural network to a class of continuous, differentiable and monotone increasing functions. Secondly we study the uniformly asymptotical stability of equilibrium in the non-autonomous model. Finally, several examples and numerical simulations are given to illustrate and reinforce our theories. In chapter 3, we firstly introduce a specific class of discrete-time neural network models with sinusoidal activation function.

在本文的第二章中，首先介绍了一类具有广义输入输出函数的非自治离散神经网络模型，该模型把瞬时混沌神经网络模型中的输入输出函数推广到了一般的单调递增且连续可微的函数；其次，利用Schauder不动点原理和利用Lyapunov函数逆定理依次证明了模型平衡点的存在性和在时变权值下的一致渐近稳定性；最后，对几个具体的例子进行数值模拟，数值模拟的结果更好地说明了我们的结论。

In peripheral nerve injury, end-to-side neurorrhaphy has been reported as an alternative in cases that the proximal nerve stump is not accessible.

周围神经损伤的修复中，如果近侧端的神经断头不易接近，可换用神经端侧吻合术。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。