1. It was possible to demonstrate by other methods refined structural differences among neuron types; however, proof was lacking that the quality of the impulse or its condition was influenced by these differences, which seemed instead to influence the developmental patterning of the neural circuits.
有可能逐辩其他斱法来证明神经元种类间癿绅微癿结极巣异；可是，返样癿证捤是缺乏癿，卲神经冲劢癿怅质戒考状态是叐返些巣异所影响癿，耄返些巣异看起来即能影响神经网络癿収育模式。
2. According to analyzing for the existing three- impulse control system, using the theory of information cluster and syzygium, and according to the characteristic of neural network kind fuses, we have established a theoretical model of syzygium and clustering control of three-impulse water level movement course.
本项研究就是根据锅炉水位控制综合、复杂、困难的特点，并通过对现有的锅炉三冲量水位控制系统进行分析，采用信息聚类融合理论，依照神经网络自身的特点，建立了一个锅炉三冲量水位变动过程的聚类控制的理论模型。
3. For improving the magnitude and frequency response performance of 2-D bandpass finite impulse response (FIR) type-3 filters designed by the conventional algorithms, an compound-sine-basis neural network algorithm was proposed.
为了改善传统方法设计的二维带通三型有限脉冲响应（FIR）滤波器的幅频响应性能，提出了复合正弦基神经网络算法。
4. The maglev system was modeled and simulated in motion response to a impulse force under neural network fuzzy-PID controller, and was compared with conventional PID controller.
采用神经模糊PID控制算法对系统受到阶跃扰动力的位移响应进行了仿真，并与常规PID控制相比较。
5. By using the magnitude response of idea filters as training samples, the compound-sine-basis neural network made the filter magnitude response approach that of the ideal filter, and then the filter impulse response was obtained with neural network weights.
以理想滤波器的幅度响应作为学习样本，通过复合正弦基神经网络训练，使得实际滤波器的幅度响应逼近理想滤波器的幅度响应，再由神经网络的权值得到滤波器的脉冲响应。
6. These findings suggest that neural impulse can conduct from the somatic branches, which go through the intercostal nerve, of the peripheral process of the spinal ganglion cells to the visceral ones, which pass through the greater splanchnic nerve, these branches are mainly A-a fibers.
提示：神经冲动可从脊神经节细胞周围突行走在肋间神经中的躯体分支，经分叉处传导到行走于内脏大神经中的内脏分支，这些分支以A－δ纤维为主。
7. There were not significant difference in electrical impulse conduction velocity through the neural regenerates and cross-sectional area of myelinated axons between the experimental and control sides (P > 0.05).
电生理检测和图像分析显示实验组和对照组的神经传导速度和有髓神经轴突总截面积均无显著差异（P>0.05）。
8. Impulse Noise Filter Based on Fuzzy Neural Network
基于模糊神经网络的脉冲噪声滤波器
9. neural impulse是什么意思
9. In chapter 4, we use Lyapunov method to investigate global exponential stability and robust stability of the equilibrium point for Cohen-Grossberg neural networks with impulse.
第四章主要用Lyapunov方法研究了带脉冲的Cohen-Grossberg神经网络平衡点的全局指数稳定性、鲁棒稳定性，另外通过构造合适的Lyapunov函数，结合压缩映像原理研究了一类带脉冲的Cohen-Grossberg神经网络的周期动力学行为。
10. The new neural network is called Product Unit Neural Networks with Finite Impulse Response synapses, which has simple structure and power information storage capacity.
这种神经网络结构既继承了标准PUNN的结构简单、信息存储能力强的优点，又更适合预测混沌时间序列，特别是在小学习样本情况。
11.
11. If the Neural Impulse Actuator from OCZ could really read thoughts, it''d be a little disappointed right now.
如果OCZ的神经脉冲驱动器(Neural Impulse Actuator，NIA)真的能读心，或许它可以读到我们内心里的小小失望吧！
12. Existence and exponential stability of periodic solution of BAM Neural Networks with impulse and time-varying delay By using the continuation theorem of coincidence degree theory and Lyapunov-Krasovskii function, the existence and global exponential stability of periodic solution for BAM model of neural network with impulses and time-delay are investigated. Sets of easily verifiable sufficient conditions are obtained for the existence and global stability of periodic solution.
脉冲时滞BAM神经网络周期解的存在性和指数稳定性运用Mawhin的重合度理论的连续性定理和Lyapunov稳定性定理，分析了具有时变时滞的脉冲双向联想神经网络的周期解的存在性和稳定性问题，得到了系统具有指数稳定的周期解的充分条件。
13. This thesis mainly focuses on the global stability for three types of delayed neural networks with impulse. Specifically, the main contents are as follows:①Impulsive stabilization of delayed neural networks Due to the complexity and imperfection of impulsive control theory for delayed systems, to the best of the author`s knowledge, stabilization of delayed systems via impulsive control approach has few results.
本文主要对三类时滞神经网络(即，Hopfield神经网络、细胞神经网络和双向联想记忆神经网络)的平衡点和周期解的全局渐近稳定性和指数稳定性进行了一系列的研究，取得了一些较深刻的结果。
14. Based on the skills of initializing the weight distribution and adding an impulse in the neural network, and expanding the ideal of plural weights, an artificial neural network model with three connection weights between one and another neural unit was established to improve the system''s performance. At the same time, in this essay GA and EBPA have been combined to train the connect weights of ANN and optimize the ANN structure so that a genetic neural network model has been build to predict the abnormal and silicon content of the hot metal.
该系统充分利用了遗传算法快速、全局收敛以及增强式学习等性能，结合专家系统的推理透明性和神经网络的局部搜索能力，实时反映高炉的下料情况、煤气分布和利用情况、炉体各部位的温度分布以及炉缸的工作状态等等，提高了专家系统对炉内信息的实时处理能力，实现对炉凉、炉热、悬料等高炉异常现象的综合诊断，同时对判断结果作出解释。
15. In this paper a novel neural network architecture is proposed for predicting time series The new neural network is called product unit neural network with finite impulse response synapses, which has simple structure and power information storage capacity Application considered is a chaotic time series with a small sample set Experiment results of single step and multi step prediction are obtained by PUNNs with FIR, standard PUNNs and fuzzy neural networks respectively The results show that performance of PUNNs with FIR is superior to that of standard PUNNs and fuzzy neural networks The work demonstrates that the PUNN with FIR is an efficient method for predicting time series, especially in small training sample set situations
提出一种具有有限脉冲响应突触的积单元神经网络结构，并用于预测混沌时间序列这种神经网络结构既继承了标准PUNN的结构简单、信息存储能力强的优点，又更适合预测混沌时间序列，特别是在小的学习样本情况分别用具有FIR突触的PUNN、标准PUNN以及模糊神经网络等 3种神经网络对小的样本混沌时间序列做了 1步和多步预测对比实验结果显示具有FIR突触的PUNN比其他 2种神经网络预测精度都高这说明具有FIR突触的PUNN是预测小学习样本时间序列的一种有效方法
16. The neural network prediction technique based on the impulse guidance is discussed.
研究基于冲突指导的神经网络预测技术。