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The result showed that the order of non-polio AFP disease chart was non-polio enterovirus infection, Guillain-Barre syndrome,injured neuritis,quadriplegia and monoplegia,myopathy, transverse myelitis,radiculitis,transient paralysis of limb and the other diseases.

结果表明,湖北省1995年非脊灰AFP病例疾病谱的顺位为:非脊灰肠道病毒感染、格林巴利综合征、创伤性神经炎、四肢瘫和单瘫、肌病、横断性脊髓炎、神经根炎、短暂性肢体麻痹等。

These networks are generalized without assuming the boundedness, monotonicity and differenciability of the activate functions.

在放松神经网络的激活函数的有界性、单调递增性和可微性的条件下,得到了神经网络的全局渐近稳定的条件。

Results GDNF plays extensive roles in the development and disease of motoneuron.

胶质细胞源性神经营养因子(glialcellline-derivedneurotropicfactor,GDNF)最初是从大鼠胶质细胞系B49的条件培养基中分离纯化获得的一个新的神经营养因子,GDNF为分泌性碱性蛋白质,在中枢神经系统和周围器官中有广泛分布,其表达受不同的转录因子等调控。

Neurotrophin-3/neurotrophic factor 3 is the important member of neurotrophin family, which can prevent embryonic and postnatal motoneuron death, maintain neuron survival, promote reparation and regeneration after nervous injury, and regulate synapse activity of neuron.

神经元营养因子-3 (neurotrophin-3, NT-3),是神经营养因子家族的重要成员,具有阻止胚胎期及出生后运动神经元细胞死亡,维持神经元的存活及促进神经损伤后的修复与再生,并参与调节神经元突触活动的作用。

SDNF can prevent the death of motoneurons following spinal root avulsion. Nitric oxide may play a role in these injury induced motoneuron death.

SDNF对臂丛神经根性撕脱伤所致运动神经元死亡有明显的保护作用,一氧化氮在臂丛神经根性撕脱伤所致运动神经元死亡中起一定作用。

Multilayer feedforward neural network is the most popular one in practice.

多层前馈神经网络是在实践中应用最为广泛的一种神经网络。

Feedforward Multilayer Neural Network has been extensively studied due to its importance and wide application.

摘要作为神经网络重要模型之一的前向神经网络一直是人们研究的热点。

We use the filtered variables to build Ridge estimation equation, and calculate the multiple correlation coefficient, at the same time passed the correlation test of the Ridge estimation equation; we built forward neural network model based on SCG method and momentum method under the MATLAB 6.5 situation, when estimating the fuel load of the sampled plots, the average precision of the artificial neural network model is 89.51%.

利用筛选出的自变量构建岭估计方程,并通过了岭估计方程的相关检验;在MATLAB6.5环境下构建基于SCG法和动量法的前向神经网络模型,在对所设置实验样地可燃物估测中人工神经网络模型估测的平均精度为89.5%。

This thesis was Carried out basing on the Seals Automatically Reorganization project in a Information Science Company of ChongQing municipalization.

摘要本文的研究工作是结合市内某信息科技公司的"印鉴自动识别系统"研发项目开展的,作者在深入分析了人工神经网络的各种数学模型及算法的基础上,重点剖析了前馈神经网络的算法思想,对其进行了实用、有效的改进,并将它成功的应用于"图象识别技术",取得了较为满意的成果。

This thesis was Carried out basing on the Seals Automatically Reorganization project in a Information Science Company of ChongQing municipalization. In the paper, based on the analyzing of the mathematical models and their algorithms of kinds of Artificial Neural Networks, the author analyzed the algorithm of the Back-Propagation networks model, at the same time, the author improved the algorithm practically and effectively, and applied it in the recognition technique of digital image successfully.

本文的研究工作是结合市内某信息科技公司的"印鉴自动识别系统"研发项目开展的,作者在深入分析了人工神经网络的各种数学模型及算法的基础上,重点剖析了前馈神经网络的算法思想,对其进行了实用、有效的改进,并将它成功的应用于"图象识别技术",取得了较为满意的成果。

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