向神经的

Introduces the accumulated error algorithm of forward neural network.

介绍前向神经网络的累积误差算法。

The expression level of metabolitic enzyme (CYP1A1, CYP1B1) and its correlation with cell differentiation /apoptosis were studied as well. The influence of resveratrol in cell cycle was determined with FCM. Results 1 Resveratrol not only suppresses the growth of medulloblastoma cells in a dose and time related fashion but also induces cell differentiation and apoptosis. Resveratrol promotes differention of UW228-1,-2 cells to forward glia, UW228-3 and Med-3 cells to neuron. A treatment of resveratrol in the concentration of 100μM for 48hrs comit most of cells die of apoptosis. 2 Among the four cell lines Fas and Caspase-3 were constantly expessed, whereas FasL was absent irrespective to the drug treatment. 3 ICC, RT-PCR, Western-blot hybridization and EROD enzymatic activity assay demonstrated that expression of CYP1A1 is different after treatment with resveratrol in four cell lines, up-regulated in three UW228 cell lines in a dose dependent manner but down-regulated in Med-3 cells. Suppressive effect of resveratrol on CYP1B1 expression is the same among four medulloblatoma cell lines. 4 Cell cycle distribution of UW228-3 was greatly changed after treatment.

结果：1、白藜芦醇以时间和剂量依赖性方式抑制髓母细胞瘤细胞生长，同时促进细胞的分化和凋亡：白藜芦醇促使UW228-1、-2靶细胞向神经胶质细胞方向成熟分化，UW228-3、Med-3细胞向神经元细胞方向成熟分化，以100μM作用48小时效果显著；2、四个细胞系均有Fas和Caspase-3表达，但无Fas-L基因表达和蛋白活性产生，因此难以形成Fas相关性死亡通路；3、白藜芦醇处理前后CYP1A1基因的表达在各细胞系略有不同：UW228-1，-2，-3三个细胞系白藜芦醇以剂量相关性方式上调CYP1A1的表达，而Med-3细胞系，白藜芦醇却抑制CYP1A1的表达；四个细胞系在白藜芦醇处理后CYP1B1的表达均受到抑制；4、UW228-3细胞系经白藜芦醇作用后细胞周期有较大改变，表现在G0/G1期在整个细胞周期中所占的比例增加，而其它时期则相应减少。

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%。

In many cases, ephrins act as negative regulators that stimulate growth cone collapse and inhibit neurite outgrowth.

在许多例子中，ephrin对於神经的发育扮演著负向的调控者，它们能够刺激神经生长锥的萎缩而抑制神经纤维的生长。

The Radical asis Function Neural Network is a feed-forward NN model with the capacity of local approximation, so it can be used as a multiple-user detector in the CDMA.

径向基函数神经网络是一种具有局部逼近能力的前向神经网络模型，它可用作码分多址中的多用户检测器，并具有较好的检测性能；但是存在不足，主要表现在网络的构造和训练算法的优化方面。

To explore how gene products, required for the initiation of synaptic growth, move from the cell body of the sensory neuron to its presynaptic terminals, and from the cell body of the motor neuron to its postsynaptic dendritic spines, we have investigated the anterograde transport machinery in both the sensory and motor neurons of the gill-withdrawal reflex of Aplysia.

为了探索突触形成起始阶段所需的基因表达产物，由感知神经细胞体向脊柱终端，以及由驱动神经细胞体向联会后枝状脊柱的移动，研究人员对与海蜗牛腮回退反射有关的，感知和驱动神经的顺式传递装置。

The results show that the learning algorithm of FNN based on PSO is superior to the BP algorithm observably. The PSO algorithm has a good application in neural networks.

研究表明，PSO算法在前向神经网络权值的学习算法中其所有的性能指标均优于传统的BP算法，PSO算法在神经网络的应用中具有广阔的前景。

The transmission is conducted in the form of action potentials along the axon of DRG neuron to the presynaptic membrane in spinal dorsal horn. Action potential depolarizes the presynaptic membrane and activates the voltage-dependent Ca〓 channel. The influx of Ca〓 then triggers the release of neurotransmitter.

外界感觉信息以动作电位的形式沿DRG细胞轴突由外周传向DRG细胞在脊髓背角的突触前膜，导致细胞膜去极化，引起电压依赖性〓通道的开放，〓内流介导突触前膜神经递质的释放，从而完成感觉信息由外周向脊髓的传递。

This dissertation studies the integration of knowledge precessing methods, focuses on two fields that few work is made, one is the combination of Genetic Algorithms and Neural Networks , the other is the combination of Genetic Algorithms and Fuzzy System .

本文主要研究知识处理方法的综合集成，并侧重于目前研究较为热门的两个研究领域：遗传算法向神经网络结合以及遗传算法向模糊系统的结合。

The three-layered feedforward neural network and its learning methods are studied in this work, where new neural network model and the network learning algorithms are presented.

本文主要研究三层前向神经网络及其学习问题，在此基础上提出新的网络模型和学习算法，目的是为了克服基于传统的BP算法的前向网络存在的网络结构和。。。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新