小神经

The theory is one of the latest results in the harmonic analysis development.

本文在对化工过程知识认识和理解的基础上，深入研究软测量技术的应用，将数学理论中调和分析技术发展的最新成果小波理论应用到软测量技术的神经网络构建中，取得了较好的效果。

The effects could be attributed to the selective action of BmK Ⅰ on the TTX-S Na〓 channel: slowing the inactivation process of Na〓 channel, increasing the amplitude of peak Na〓 currents; 2 BmK abT, a new-type neurotoxin with higher sequence homology to β-type scorpion neurotoxin, was found to slow the inactivation process of Na〓 channel and prolong the duration of action potential in DRG neurons.

这些结果提示BmK IT2和BmK AS-1的外周抗伤害性效应可能是通过它们对小直径DRG神经元外周游离末梢即C纤维末梢上的TTX-S和TTX-R钠通道的门控调节所致，且BmK IT2对角叉菜胶致炎大鼠较强的抗伤害性作用可能是由于它对TTX-R钠通道较高的敏感性所致。二。特异性钠通道调制剂-东亚钳蝎神经毒素的电生理特征。

Substituting other faster algorithm of NN for the BP algorithm in it, we get a new non-line homotopic synthetic learning algorithm, which increases the speed of convergence and improves the ability of avoiding local minimum.

在此基础上，进一步提出用其它改进的神经网络快速算法代替其中的BP算法，从而形成新的非线性同伦综合学习算法，即保持了快速收敛的特点，又较大地提高其避免陷入局部极小的能力，收到很好的训练效果。

Based on the concept of zero-path tracking in homotopy which is generalized into minimum of energy function path tracking and considering that different homotopy path has greater impacts on convergence speed, a new method is put forward——the non-line homotopic BP algorithm.

本文在将同伦论中的零点路径跟踪概念推广到对多层前馈神经网络能量函数极小点路径跟踪的基础上，注意到不同的同伦路径对收敛速度的影响，提出了一种改进算法——非线性同伦BP算法。

Small cell carcinoma is a rare, highly aggressive and invasive poorly-differentiated neuroendocrine carcinoma that is often in the lungs but rarely in the head and neck region. It is even rarer to occur in the hypopharynx. As a highly malignant lesion, it tends to metastasize early and readily.

小细胞癌是一种少见但极具侵犯性之分化不良的神经内分泌癌(poorly differentiated neuroendocrine carcinoma)，它常发生在肺部，而在头颈部非常少见，至於下咽部的病例数，更是寥寥可数。

The mostly thought t are real time recognizing gray image target with Gabor wavelet neural networks algorithm.

本文的主要研究思想就是：运用并行的Gabor小波神经网络算法对灰度图像目标进行实时识别。

BP neural networks have been widely used in mode recognizing, image processing, system control etc A lot of study has been done on the training algorithm of BP neural networks But there are still many short comings To complete the training of the weights of a BP neural network, the key problem is how to overcome the staying at the local minimum points as well as how to increase the training speed based on this condition This paper comes up w...

BP神经网络被广泛应用于分类模式识别、图像处理和系统控制等领域人们对BP网络算法进行了许多的研究，但尚有其不足之处为完成其权的训练，问题的关键在于如何避免陷入局部极小及在此前题下如何提高学习速度为此，就如何选取学习率η和动量矩α提出了改进方案，并应用于数字识别，得到了较为满意的结果

To address the defects of slow convergence and easy immergence in the partial minimum in the learning process of Back Propagation Neural Network CNN, a Levenberg-Marquardt algorithm was presented.

针对BP神经网络学习过程收鼓速度慢及易陷入局部极小值的缺陷，研究了levenberg-marquart算法。

This paper presents a new fault diagnosis method based on inlay model wavelet neural network for analog circuit.

本文针对模拟电路提出了1种新的基于紧致型小波神经网络的故障诊断方法。

In this case, innervation of the small fibers in the center was lost.

本例，中间的小细胞神经支配消失。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。