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This article is based on a two-dimension retinal ganglion cell receptive field model with extended surround described in a previous paper.

在前文建立的二维视网膜神经节细胞含大周边感受野模型基础上,结合生理实验结果模拟了神经节细胞的方位选择性特性。

On the basis of network training, neural network computing models of maximum fluctuation of water surface in ship lift chamber with tumble gate operating (NNCM-MFWS-SLC-TGO) were built through the principle of artificial neural networks.

运用人工神经网络原理,在通过大量学习样本对网络进行训练的基础上,建立了启闭时升船机承船厢内水面最大升降值的神经网络计算模型(NNCM—MFWS-SLC-TGO)。

The tumor was removed and the pathology demonstrated highly cellular tumor with poorly differential cells and brisk miotic activity. Based on the tumor location and pathology, a supratentorial primitive neuroectodermal tumor was diagnosed.

经过外科手术切除,病理切片报告确定这是一个原始神经外胚层肿瘤(Primitive neuroectodermal tumors),根据肿瘤位置及病理切片报告诊断为天幕上原始神经外胚层肿瘤。

On the basis of the algorithm of BP neural network,the network's excitation function has been improved, and an ANN-based Seismic Response recognising system for pile foundation bridge pier has been developed according to the characters of the seismic response of the pier.

在原BP神经网络基本算法的基础上,按研究桩基桥墩地震响应的特点,改进了网络的激励函数,开发了适用于桩基桥墩地震响应的神经网络辨识系统。

RESULTS:In BN rat retina,Cx43 was immunolocalized to internal limiting membrane,nerve fiber layer,ganglion cell layer and pigment epithelium.Cx43 appeared in the form of distinct puncta distributed on ganglion cell.

结果:正常视网膜内界膜,视神经纤维层以及神经节细胞层明显表达,神经节细胞表达的主要位置是细胞质和细胞膜,色素上皮细胞全层表达,内外颗粒层及内外层状层无表达。

In Group I, catheter was placed into central vein. PCIA solution contained 0.025% morphine. PCIA was commenced with a loading dose (2-5 mg) of morphine. The PCIA pump was set up with a background infusion of 2 ml/h, 1 ml bolus dose and a 15-minute lockout interval. In Group II, four intercostal nervers were freezed (-70 degrees Celsius) for 90 seconds. Pain intensity was measured at differnt time [1, 4, 8, 12, 24, 48 and 72 hour after operation] using VAS scoring.

选择80例接受开胸手术的病人,随机分为静脉镇痛组和神经冷冻组,静脉镇痛组行术后病人自控静脉镇痛,后者采用北京库蓝公司JT-1型冷冻治疗仪在关胸前对切口所在肋间及上、下各一肋间和放置胸引瓶所在肋间的肋间神经进行冷冻,以VAS评分判断两组术后胸部切口疼痛情况,并记录不良反应。

A model for predicting the sulphur content in hot metal based on neural networks is introduced. Blast temperature, blast flux, top temperature, burden, coal injection rate, sulphur content in ore, sulphur content in coke, sulphur content in coal and silicon content of last tap were selected as inputs. The inputs were treated with time lag to improve prediction.

采用3层BP神经网络来预报高炉铁水硫含量,根据高炉冶炼的实际生产数据,选取风温、风量、炉顶温度、焦炭负荷、喷煤量、矿石硫含量、焦炭硫含量、煤粉硫含量和上一炉铁水硅含量9个因素作为输入变量,为提高神经网络预报的准确率,对输入参数进行时滞处理。

By analyzing the equivalence of fuzzy system and single-layered neural network, stable single-layered neural network adaptive control approach for nonlinear systems is proposed.

在分析模糊系统和单层神经网络等价性的基础上,提出非线性系统的单层神经网络稳定自适应控制方法。

In allusion to weak point of traditional PID control can't effectively tracking parametric variation of control system ,utilize neural network have predominance that self-study、self-organization、associative memory、concurrent processing and can get satisfactory result in complex control system on the basis of double closed loop,advance apply adaptive linear element network—Adaline network, which has self-learn and self-adjust ability.

在双闭环控制的基础上,针对经典PID调节器不能有效跟踪控制系统参数变化过程这一弱点,利用神经网络具有自学习、自组织、联想记忆和并行处理等功能和对于复杂系统控制可以达到满意效果的优势,提出了采用具有自学习和自适应能力的单神经元网络——Adaline网络,来构成一种神经网络自校正控制器。

To achieve high-performance PMSM position servo system, advanced control scheme, which is static precision, transient responses and self-adaptation and anti-disturbances, is needed in practice. Based on the analysis on the features and control principles of PMSM, this thesis established its math model using id=0 vector control method. Three close loops control system, which includes current loop, velocity loop and position loop, was built up. For position loop, the main feedback loop, we chose a new adapted-fuzzy CMAC intelligent controller, which includes self-learn ability of neural net and quick response merit of fuzzy controller. Finally, the author simulates PMSM position servo system by the simulink of matlab, an advanced computer simulation tool.

本文对PMSM的控制机理和特性作了较为深入的分析;建立了PMSM的数学模型,并采用了id=0的矢量控制策略;对控制系统组成及控制方式作了分析和比较,在此基础上建立了电流环、速度环和位置环的三闭环控制系统,对作为反馈主回路的位置环采用了模糊CMAC神经网络控制方法,该方法兼具模糊控制器的快速性和神经网络的自学习能力;构建了针对PMSM位置伺服系统的模糊CMAC控制器结构及其相应的算法;利用先进的计算机仿真工具(Matlab下的Simulink)对所提出的控制策略进行了数字仿真和分析;仿真和实验结果表明本文所提出的控制策略对PMSM位置伺服系统进行控制具有良好的鲁棒性能和快速性。

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