神经

In three-valued neural networks model, the energy function of two-valued neural networks model can not be applied, so the energy function need to be find for the three -valued neural networks model, and here two kind model algorithms are compared in this paper.

在三值神经网络模型中，二值模型的能量函数不能适用于三值模型，因此需要求解三值模型的能量函数，在此本文对三值神经网络测试生成算法与二值神经网络测试生成算法进行比较。

Methods 63patients with tiger spot fish poisoning were observed.the nerve conduction velocity were determined in63patients and60controls.

分析63例因食用"老虎斑"鱼中毒患者的临床特征，并测定63例中毒患者和60例正常人的正中神经及胫神经的神经传导速度。

Objective To explore the clinical feature in patients with tiger spot fish poisoning. Methods 63patients with tiger spot fish poisoning were observed.The nerve conduction velocity were determined in63patients and60controls.

分析63例因食用"老虎斑"鱼中毒患者的临床特征，并测定63例中毒患者和60例正常人的正中神经及胫神经的神经传导速度。

Methods 63patients with tiger spot fish poisoning were observed. The nerve conduction velocity were determined in63patients and60controls. Results Symptoms usually appeared0.5～24hours after eating poisonous fish.

分析 63例因食用"老虎斑"鱼中毒患者的临床特征，并测定63例中毒患者和60例正常人的正中神经及胫神经的神经传导速度。

The clinical symptoms of tiger spot fish poisoning includes gastrointestinal,cardiovascular and neurological symptoms.The tiger spot fish poisoning can lead to persistent paresthesia with characteristic temperature perversion.Peripheral nerves damage is more severe in farther limbs.

"老虎斑"鱼中毒临床表现在消化、心血管、神经三系统，可造成持续长时间的神经感觉异常，并以温度感觉倒错最具特征性，其周围神经损害主要在肢体远端，且下肢重于上肢，而无颅神经损害体征。

Trigeminal nerve abnormality did not occur. Conclusion The clinical symptoms of tiger spot fish poisoning includes gastrointestinal,cardiovascular and neurological symptoms.The tiger spot fish poisoning can lead to persistent paresthesia with characteristic temperature perversion.Peripheral nerves damage is more severe in farther limbs.

"老虎斑"鱼中毒临床表现在消化、心血管、神经三大系统，可造成持续长时间的神经感觉异常，并以温度感觉倒错最具特征性，其周围神经损害主要在肢体远端，且下肢重于上肢，而无颅神经损害体征。

Computer-simulation results related to the TNN model substantiate that the timing neural network could handle well the inverse-interpolation problems of one-to-one and multiple-to-one mappings. Keywords: neural networks, weights direct determination, inverse problems, timing neural network

基于前面提出的网络模型，本文进一步提出一种增加时序控制条件的神经网络，即时序神经网络模型，并给出理论推导和进行仿真验证，结果表明该时序神经网络能够成功解决一一映射及非一一映射反插值问题。

Results The sensitivity and specificity of "three antibodies method" for detection of Y chromosome signal in brain tissue is 85.67% and 100%, respectively; the sensitivity and specificity of direct tyramine signal amplification method for detection of Y chromosome signal in brain tissue is 92.82% and 100%, respectively.

赵春礼1；邹西峰1，2；蔡青3；高尔静3；刘玉军1；赵焕英3；张进禄3；徐群渊11。首都医科大学北京神经科学研究所，北京市神经再生修复研究重点实验室，教育部神经变性疾病重点实验室 2。华北煤炭医学院附属医院神经外科 3。首都医科大学医学实验与测试中心

Electromyographic, histological and ultramicroscopic analysis were performed in 2, 8 and 16 weeks postoperatively. The nerve conduct velocity, amplitude of compound muscle action potential, myelinated nerve fiber counts and ultramicrostructure were studied and processed statistical analysis.

分别于术后2、8、16周对再生神经及正常对照行电生理、组织学及超微结构观察，分析并比较神经传导速度、复合肌肉动作电位、神经纤维计数、神经超微结构等指标，行相应的统计学处理。

A neural-network-based robust compensating control method is proposed for the robots with constructed and unconstructed uncertainty The robust controller consists of a computed torque controller and add-on compensating controller The effective way using neural network to estimate the system uncertainty is also given.

四、对具有结构型和非结构型不确定性的机器人提出了一种基于神经网络补偿的鲁棒控制方法，控制器由一个计算力矩控制器和一个可切入的神经网络补偿控制器组成，给出一种利用神经网络学习机器人不确定性的有效途径。

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。